[go: up one dir, main page]

WO2015105287A1 - Procédé de collecte d'informations de trafic, appareil et système associés - Google Patents

Procédé de collecte d'informations de trafic, appareil et système associés Download PDF

Info

Publication number
WO2015105287A1
WO2015105287A1 PCT/KR2014/012477 KR2014012477W WO2015105287A1 WO 2015105287 A1 WO2015105287 A1 WO 2015105287A1 KR 2014012477 W KR2014012477 W KR 2014012477W WO 2015105287 A1 WO2015105287 A1 WO 2015105287A1
Authority
WO
WIPO (PCT)
Prior art keywords
sample
valid
samples
detected
specific
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Ceased
Application number
PCT/KR2014/012477
Other languages
English (en)
Korean (ko)
Inventor
유건우
황태승
이경민
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
SK Planet Co Ltd
Original Assignee
SK Planet Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Priority claimed from KR1020140003292A external-priority patent/KR102200602B1/ko
Priority claimed from KR1020140004390A external-priority patent/KR102173925B1/ko
Priority claimed from KR1020140017214A external-priority patent/KR102173926B1/ko
Priority claimed from KR1020140017215A external-priority patent/KR20150096565A/ko
Priority claimed from KR1020140017213A external-priority patent/KR102200601B1/ko
Application filed by SK Planet Co Ltd filed Critical SK Planet Co Ltd
Publication of WO2015105287A1 publication Critical patent/WO2015105287A1/fr
Anticipated expiration legal-status Critical
Ceased legal-status Critical Current

Links

Images

Classifications

    • G—PHYSICS
    • G08—SIGNALLING
    • G08G—TRAFFIC CONTROL SYSTEMS
    • G08G1/00—Traffic control systems for road vehicles
    • G08G1/01—Detecting movement of traffic to be counted or controlled
    • G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
    • G08G1/0137—Measuring and analyzing of parameters relative to traffic conditions for specific applications
    • G08G1/0141—Measuring and analyzing of parameters relative to traffic conditions for specific applications for traffic information dissemination
    • G—PHYSICS
    • G08—SIGNALLING
    • G08G—TRAFFIC CONTROL SYSTEMS
    • G08G1/00—Traffic control systems for road vehicles
    • G08G1/01—Detecting movement of traffic to be counted or controlled
    • G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
    • G08G1/0108—Measuring and analyzing of parameters relative to traffic conditions based on the source of data
    • G08G1/012—Measuring and analyzing of parameters relative to traffic conditions based on the source of data from other sources than vehicle or roadside beacons, e.g. mobile networks
    • G—PHYSICS
    • G08—SIGNALLING
    • G08G—TRAFFIC CONTROL SYSTEMS
    • G08G1/00—Traffic control systems for road vehicles
    • G08G1/01—Detecting movement of traffic to be counted or controlled
    • G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
    • G08G1/0125—Traffic data processing
    • G08G1/0133—Traffic data processing for classifying traffic situation
    • H—ELECTRICITY
    • H04—ELECTRIC COMMUNICATION TECHNIQUE
    • H04W—WIRELESS COMMUNICATION NETWORKS
    • H04W4/00—Services specially adapted for wireless communication networks; Facilities therefor
    • H04W4/02—Services making use of location information
    • H04W4/029—Location-based management or tracking services

Definitions

  • the present invention relates to a method for collecting traffic information, apparatus and system therefor, and particularly, to collect and process traffic information using a mobile communication network to calculate an effective sample for a mobile terminal device passing through a boundary area of a specific area, The reliability of the sample detected when collecting the information is maintained and recycled, and the reliable sample of the detected sample is generated when the traffic information is collected.
  • the present invention relates to a traffic information collection method for managing to be reused, an apparatus and a system therefor.
  • a navigation function is included in the mobile terminal device, so that the mobile terminal device can provide route guidance according to the driving of the vehicle or the user's movement, and a road traffic system also connects communication technologies to provide an intelligent transportation service. It is becoming.
  • Transport information and control system one of the technologies for providing such intelligent traffic service, provides a service for collecting, processing and providing traffic information in real time based on a user's location.
  • a traffic information collection system uses a GPS location tracking method to provide route guidance and real-time traffic information along with a navigation service for each vehicle using a global positioning system (GPS) and a mobile communication network. It collects traffic information and provides the collected traffic information through web, mobile, navigation, and Internet Protocol Television (IPTV).
  • GPS global positioning system
  • IPTV Internet Protocol Television
  • the traffic information collection system uses a method of selecting a mobile terminal device that passes through a series of base stations adjacent to a target road to collect a sample traveling along a specific road when collecting traffic information using a mobile communication network.
  • the traffic information collection system can collect traffic information relatively accurately since mobile terminal devices, which are mainly selected as samples in an environment such as a highway, are likely to be vehicles driving on roads. Since there are many residents and pedestrians in the vicinity of the road, the mobile terminal device moving in the actual vehicle is less likely to be selected as the actual sample.
  • the present invention has been proposed to solve the inconvenience of the prior art, by using a mobile communication network to monitor the mobile terminal device to move the traffic information collection target area to detect a sample, the boundary area of a specific area in the traffic information collection target area
  • the weighted samples of one or more mobile terminal devices passing through the identified boundary area among the detected samples are detected as valid samples, and the current position of the detected valid samples is tracked to track
  • the present invention provides a traffic information collection method for collecting real-time traffic information, an apparatus and a system therefor.
  • another object of the present invention is to calculate the individual moving speed for one or more samples detected in a specific area, and to calculate the reliability by using the individual moving speed of the detected samples to obtain a good sample having a high probability of traveling in a specific area After selecting the effective sample including the selected storm water sample, it calculates the final average speed in the specific area by reflecting the individual moving speed of the weighted storm water sample, and based on the calculated final average speed To provide a traffic information collection method, apparatus and system for collecting the traffic information in real time.
  • Another object of the present invention is to detect one or more specimens by monitoring one or more mobile terminal devices moving through a specific region, and calculate individual movement speeds for the detected specimens to determine the individual movement speeds of the detected specimens and the specific region. Obtain the correlation coefficient between the reference speed for the actual traffic speed or the final calculated speed, and if the correlation coefficient exceeds the preset threshold, select the detected sample as the best sample, and then move the individual moving speed for the selected good sample. By assigning weights according to the correlation coefficient, the selected good sample is stored as a valid sample and stored in a separate storage space to calculate the final speed using the weighted effective sample, and based on the calculated final average speed Traffic information collection method for collecting real-time traffic information in the area, apparatus and city for the same To provide a system.
  • another object of the present invention is to calculate the individual moving speed for the detected sample using the location tracking result information for one or more samples detected by the service device to monitor the one or more mobile terminal devices moving through a specific area, Using the individual moving speeds of the detected samples, one or more storm samples that are likely to drive a particular area are selected, weighted to each of the selected one or more storm samples, and weighted to the selected one or more storm samples.
  • the present invention provides a method for collecting traffic information, an apparatus and a system for selecting a weight group corresponding to a given weight, and storing and managing a good sample in the selected weight group as a valid sample.
  • another object of the present invention is to monitor the one or more mobile terminal devices that the service device is moving the specific area to calculate the individual moving speed of the detected one or more samples, and to use the detected moving speed of the specific sample to determine the specific area Select one or more stormwater samples that are likely to drive, maintain and manage the selected stormwater samples as valid samples, and immediately extract specific validity samples extracted by extracting valid samples that travel abnormally among the managed samples. Analyze the result information for repositioning a specific valid sample or the individual moving speed of the specific valid sample without removing it, and confirm the driving state of the specific valid sample, and perform filtering of the specific valid sample according to the confirmed result.
  • an apparatus and a system therefor The.
  • the service device of the present invention for achieving the above object is a communication unit for performing a communication for collecting traffic information with one or more mobile terminal devices using a mobile communication network, and the position of one or more samples detected in a specific area Using the tracking result information, the individual moving speeds for the detected samples are calculated, weighted to the individual moving speeds of the selected excellent samples from the detected samples, and the individual moving speeds of the weighted excellent samples are reflected. And a moving speed calculating unit for calculating a final average speed in the specific area, and using the individual moving speeds of the detected samples to determine the reliability, and the excellent probability of driving the specific area according to the determined reliability.
  • Valid sample mount to select a sample and calculate the valid sample including selected storm sample Monitoring one or more specimens by moving the portion and the specific region to detect one or more specimens, track the movement route for the detected specimens on the movement route of the specific region, and based on the final average speed And a traffic information collecting unit for controlling to collect and store real-time traffic information in a specific area.
  • traffic information collected in real time by the road information and the traffic information collecting unit traffic information collected by the traffic information collecting unit, information about the detected sample, Maintenance and reuse information for the good sample, the information on the calculated effective sample, the information on the calculated individual moving speed, the information on the calculated final average speed, the information of the mobile terminal device and the base station to be sampled
  • a storage unit for storing one or more of the information.
  • the storage unit encrypts and stores the unique identification information of the one or more mobile terminal apparatuses using a hash value, and stores the excellent sample maintenance and reuse information and the calculated information.
  • the unique identification information is not stored in each storage space that stores information about individual moving speeds and information about the calculated final average speed.
  • the moving speed calculating unit the breakdown of the individual moving speed calculated by calculating the individual moving speed for each detected sample in the specific region for each time and each section for each time And controlling to store them separately for each section.
  • the moving speed calculating unit calculates the individual moving speed by grasping the moment passing through the handoff point of the base station adjacent to the specific region through the location tracking of the detected sample. It features.
  • the moving speed calculator by checking whether the detected sample is abnormal driving, removes the detected sample that is abnormal driving, the average speed for each section for the calculated effective sample It calculates, and compares the calculated average speed for each section with the average speed for each section of the previous period is characterized in that it is corrected so that a sudden difference does not occur.
  • the effective sample calculating unit calculates the reliability of the detected sample based on the past velocity calculation statistics of the detected sample, and selects the excellent sample in the order of the calculated reliability is high. It is characterized by.
  • the effective sample calculation unit the detected sample by comparing the similarity between the past final average speed of the predetermined number of times for the detected sample and the individual moving speed for the detected sample It is characterized by calculating the reliability of.
  • the effective sample calculating unit may set the reliability higher as the similarity comparison value is higher, and sort the samples in the order in which the reliability is high.
  • the effective sample calculation unit if it is determined that the past final average speed and the individual moving speed of the detected sample is similar within the predetermined range, the detected sample as an excellent sample It is characterized by a selection box.
  • the effective sample calculating unit compares the occurrence time of the past final average speed by the preset number of times with respect to the detected sample and the current time to determine a time difference between the occurrence time and the current time.
  • the detected sample is selected as an excellent sample, and the smaller the time difference is, the higher the reliability of the selected excellent sample is.
  • the effective sample calculating unit is configured to preset environmental information about the selection criteria of the excellent sample and the criteria for reusing and maintaining the excellent sample.
  • the effective sample calculating unit maintains and recycles the selected excellent sample for a predetermined maintenance period set in the environmental information.
  • the traffic information collecting unit detects the sample by using call data of a base station adjacent to the specific area and information registered when a handoff occurs in the base station. It is done.
  • the effective sample calculation unit checks the boundary area of a specific area in the traffic information collection target area, and at least one mobile terminal passing through the identified boundary area of the detected samples It is characterized by calculating the effective sample by weighting the sample for the device.
  • the traffic information collecting unit monitors a mobile terminal device moving in a traffic information collecting target area to detect a sample, and a current position of the valid sample calculated by the valid sample calculating unit. It is characterized by collecting the real-time traffic information on the movement route by tracking the.
  • the traffic information collecting unit detects the sample by analyzing call data of a base station located in the traffic information collecting region.
  • the traffic information collecting unit detects the sample by using information registered when a handoff occurs in a base station located in the traffic information collecting region.
  • the traffic information collecting unit to the base station located in the cell corresponding to the border area via the home location registration device for the location inquiry request message for tracking the current location of the calculated effective sample And transmitting the location information queried from the home location registration device to the home location registration device, and receiving a location inquiry response message including traffic information according to the location information queried from the home location registration device.
  • the effective sample calculating unit may set the boundary area as a boundary area between a suburban area and a downtown area in the traffic information collection area.
  • the effective sample calculation unit checks the boundary region of the suburban area and the downtown area using the road information of the traffic information collection target area, and checks the boundary area of the cell corresponding to the boundary area. And a sample of at least one mobile terminal device flowing into the downtown area through the handoff point of the base station located as the valid sample.
  • the effective sample calculating unit generates an event signal through a base station located in a cell corresponding to the boundary region, and assigns a weight to a sample having an event response among the detected samples. It is characterized by calculating to the effective sample.
  • the effective sample calculating unit monitors one or more mobile terminal devices in a specific region, and obtains a correlation coefficient between a moving speed of the detected sample and a reference speed with respect to the actual communication speed of the specific region. If the obtained correlation coefficient exceeds a preset threshold, the detected sample is selected as an excellent sample, and the selected excellent sample is stored as a valid sample in a separate storage space for management.
  • the moving speed calculating unit calculates an individual moving speed of the detected sample by using the location tracking result information of the detected sample, and calculates an excellent moving rate among the detected samples. Weighting is given to the individual moving speeds according to the correlation coefficient.
  • the effective sample calculation unit when the effective sample calculation unit does not know the reference speed with respect to the actual communication speed of a specific region, the effective sample calculation unit monitors one or more mobile terminal devices in the specific region and Obtain the correlation coefficient between the final velocity calculated before, if the correlation coefficient exceeds the preset threshold, select the detected sample as a good sample, and store the selected good sample as a valid sample in a separate storage space Characterized in that.
  • the moving speed calculating unit the higher the value of the correlation coefficient gives a higher weight to the individual moving speed of the effective sample, the current interval in the specific region using the assigned weight And calculating the final speed of the time zone.
  • the moving speed calculating unit the breakdown of the individual moving speed calculated by calculating the individual moving speed for each detected sample in the specific region for each time and each section for each time And controlling to store them separately for each section.
  • the moving speed calculating unit calculates the individual moving speed by identifying the moment passing through the handoff point of the base station adjacent to the specific region through the location tracking of the detected sample. It is characterized by.
  • the moving speed calculator calculates an average speed for each section for the valid sample, and compares the calculated average speed for each section with an average speed for each section of a previous period. It is characterized by correcting so that a sudden difference does not occur.
  • the effective sample calculating unit is configured to preset the selection criteria of the excellent sample, the criteria for reusing and maintaining the excellent sample, and the environment information on the threshold value.
  • the effective sample calculating unit may select one or more excellent samples having a high probability of traveling in the specific area by using the detected moving speed of the sample, and a plurality of weights configured for each weight. Selecting a weight group corresponding to the weight given to the selected one or more excellent samples from the group, and including the good sample in the selected weight group to control to store and manage as an effective sample.
  • the effective sample calculation unit the weight is given to each of the selected one or more excellent samples in accordance with the correlation coefficient, and each of the weight group by setting the life time of the effective sample included
  • the effective sample included in each weight group is stored in a separate storage space to be maintained and reused for a set lifetime.
  • the valid sample calculator detects a valid sample whose life time expires among the valid samples included in the plurality of weight groups, and lowers the detected valid sample to a group currently included. Move to the weight group of the step, and reset the weight and life time of the detected valid sample to the weight and life time corresponding to the moved group.
  • the valid sample calculation unit when the detected valid sample is a valid sample whose life time expires and there is no update of the individual moving speed, It is characterized by moving to a lower weight group.
  • the valid sample calculating unit may remove the detected valid sample when the group currently included in the detected valid sample is the lowest weight group.
  • the effective sample calculation unit if the individual moving speed of the effective samples included in the plurality of weight groups is updated, re-weight the effective sample according to the updated individual moving speed, It is characterized by moving and managing the effective sample whose updated individual moving speed is updated to another corresponding weight group according to the assigned weight.
  • the effective sample calculator detects a valid sample whose life time has elapsed among the valid samples included in the plurality of weight groups, and updates the individual moving speeds of the detected valid samples. If so, the life time of the detected valid sample is reset to maintain the detected valid sample.
  • the effective sample calculating unit manages the weighted sample group included in the higher weight group as the weight assigned to the individual moving speed of the selected excellent sample is higher. It is characterized in that at least one information of the correlation coefficient range of the, each weight group of the life time is set in advance as environmental information.
  • the effective sample calculating unit may select one or more excellent samples having a high probability of traveling in the specific region by using the detected individual moving speeds of the sample, and validate the selected excellent samples.
  • the moving speed of the specific valid sample is confirmed by analyzing the individual moving speeds, and the filtering of the specific valid sample is performed according to the verification result.
  • the effective sample calculation unit selects the valid samples to run continuously through the base stations located in the specific region of the managed effective samples, and the specific base station of the selected valid samples It is characterized in that by extracting a specific effective sample that has been positioned above the threshold value to determine the extracted specific effective sample as a stationary state and repositioning the position of the specific valid sample at a certain period.
  • the effective sample calculating unit removes the specific valid sample when the location is continuously relocated at the same or adjacent base station as a result of re-measuring the location of the specific valid sample. do.
  • the effective sample calculating unit when the location is located in the base station located in the next road section of the specific area, as a result of re-determining the location of the specific valid sample, Maintain and manage.
  • the effective sample calculating unit is a specific effective that the individual moving speed value is traveling at a speed lower than the allowable value in comparison with the individual moving speed of the managed effective sample and a preset allowable value.
  • a sample is extracted, and it is determined that the extracted specific valid sample moves at a slow speed as the preset condition, and the individual moving speed of the extracted specific valid sample is compared with a low speed reference value to determine the specific valid sample according to the comparison result. Characterized by removal or maintenance.
  • the effective sample calculating unit calculates an average speed value and a standard deviation value based on individual moving speeds of other valid samples of the road section in which the specific valid sample is currently located, and calculates the average
  • the low speed reference value is calculated using the speed value and the standard deviation value.
  • the effective sample calculating unit may remove the specific valid sample when the low speed reference value is larger than the individual moving speed value of the specific valid sample.
  • the effective sample calculation unit if the low-speed reference value is not greater than the individual moving speed value of the particular valid sample, characterized in that the particular valid sample is maintained without removing.
  • the effective sample calculation unit selects the valid samples running continuously through the base stations located in the specific region of the managed valid samples, the specific among the selected valid samples
  • the base station is not located in the region is extracted from the effective sample that has been positioned, and repositioning the extracted specific effective sample by a preset error tolerance to remove the specific valid sample according to the comparison result according to the repositioning result or It is characterized by maintaining.
  • the effective sample calculation unit when the location of the specific valid sample is again located in the specific area as a result of repositioning of the specific valid sample, maintains the specific valid sample. It is characterized by.
  • the valid sample calculation unit the specific valid sample when the location of the specific valid sample is continuously located in the specific region as a result of the repositioning of the specific valid sample; It characterized in that to remove.
  • a method for collecting traffic information by detecting one or more specimens by monitoring one or more mobile terminal devices moving through a specific area, and using the location tracking result information of the detected specimens. Calculating an individual moving speed for the target, determining reliability using the detected moving speed of the sample, selecting an excellent sample having a high probability of traveling the specific area according to the determined reliability; Calculating an effective sample including the selected excellent sample, weighting the individual moving speed of the selected excellent sample, and reflecting the individual moving speed of the weighted excellent sample in the specific region. Calculating a final average speed of the signal and real time in the specific region based on the final average speed Characterized in that it comprises a step of collecting and storing the call information.
  • the traffic information collection method further comprising the step of storing the reliability information for the selected excellent sample in a separate storage space to maintain and recycle the selected excellent sample for a predetermined maintenance period. Characterized in that.
  • selecting the excellent sample having a high probability of traveling the specific area, the past final average speed of the detected sample by the predetermined number of times and the detected sample Comparing the similarities of the individual moving speeds, determining whether the similarity comparison value is within a preset range, and when the similarity comparison value is within a preset range, the detected sample is an excellent sample. And selecting a higher value, and comparing the similarity value of the selected excellent sample with higher reliability and sorting the detected samples in the order of higher reliability.
  • selecting the excellent sample having a high probability of traveling the specific area confirming the occurrence time point of the past final average speed for the detected sample by a predetermined number of times. And comparing the identified occurrence time point with the current time point, selecting the detected sample as an excellent sample when the time difference between the identified occurrence time point and the current time point is within a preset time range, and The smaller the time difference is characterized in that it comprises the step of setting the reliability of the selected excellent sample higher.
  • a method for collecting traffic information comprising: detecting a sample by monitoring a mobile terminal device moving in a traffic information collecting area; and checking a boundary area of a specific area in the traffic information collecting area; Weighting a sample for one or more mobile terminal devices that pass through the identified boundary area among the detected samples to calculate a valid sample; and tracking a current position of the calculated one or more valid samples by moving the path. And collecting real-time traffic information on the floor.
  • the step of calculating the average moving speed by using the traffic information for the at least one valid sample and the calculated average moving speed is the moving speed of the traffic information collection target area It characterized in that it further comprises the step of setting to.
  • the calculating of the valid sample includes: generating an event signal through a base station located in a cell corresponding to the border region; and traffic information about the detected sample; Confirming a sample of the mobile terminal device passing through the specific region from the detected sample, and if the traffic information of the identified sample includes event information according to the event signal, Weighting a sample and calculating the weighted sample as the valid sample.
  • detecting one or more specimens by monitoring one or more mobile terminal devices moving through a specific area, and using the detected position tracking result information of the detected specimens Calculating an individual moving speed with respect to each other, calculating a correlation coefficient between the individual moving speed of the detected sample and a reference speed with respect to the actual communication speed of the specific region, and obtaining the correlation coefficient exceeding a preset threshold.
  • selecting the detected sample as the excellent sample and weighting the individual moving speed for the selected excellent sample according to the correlation coefficient to store the selected excellent sample as a valid sample in a separate storage space and managing the same. It is characterized by including.
  • a method for collecting traffic information by detecting one or more specimens by monitoring one or more mobile terminal devices moving through a specific area, and using the location tracking result information of the detected specimens. Calculating individual moving speeds for the specific area; retrieving a final speed calculated before, if the reference speed for the actual communication speed of the specific area is not known; Obtaining a correlation coefficient between velocities, selecting the detected sample as an excellent sample when the obtained correlation coefficient exceeds a predetermined threshold value, and weighting the individual moving speed for the selected excellent sample according to the correlation coefficient. To save the selected good sample as a valid sample in a separate storage space It is characterized by including.
  • the traffic information collection method characterized in that it further comprises the step of calculating the final speed of the current section and the current time zone using the weight assigned to the individual moving speed of the effective sample.
  • a method for collecting traffic information by detecting one or more specimens by monitoring one or more mobile terminal devices moving through a specific area, and using the location tracking result information of the detected specimens. Calculating individual moving speeds for the at least one sample; selecting at least one storm sample having a high probability of traveling in the specific region by using the detected movement speed of the sample; Weighting the speed, selecting a weight group corresponding to the weight given to the selected one or more excellent samples among the plurality of weight groups organized by weight, and including the excellent sample in the selected weight group And storing and managing the same.
  • the traffic information collection method characterized in that it further comprises the step of detecting and processing the valid sample of the expiration of the life time of the valid samples included in the plurality of weight groups.
  • the step of detecting and processing a valid sample whose life time has expired among the valid samples included in the plurality of weight groups includes: detecting a valid sample whose life time has expired; And checking the included weight group of the detected valid sample, and removing the detected valid sample if the weight group containing the detected valid sample is the lowest weight group. It is characterized by.
  • the step of detecting and processing a valid sample whose life time expires among the valid samples included in the plurality of weight groups includes: a weight group including the detected valid sample; If it is not the lowest weight group, the step of moving to a lower weight group than the weight group containing the detected effective sample, and the weight and life time of the moved weight group of the detected effective sample Setting a weight and a lifetime and maintaining the detected valid sample in the shifted weight group for a set lifetime.
  • a method for collecting traffic information by detecting one or more specimens by monitoring one or more mobile terminal devices moving through a specific area, and using the location tracking result information of the detected specimens. Calculating an individual moving speed for the target; selecting one or more excellent samples having a high probability of traveling the specific area by using the individual moving speeds of the detected samples; Maintaining and managing; extracting a valid sample that is abnormally driven among the managed valid samples; and checking the driving state of the specific valid sample without immediately removing the extracted specific valid sample, and confirming the specific state according to the confirmed result. And performing filtering of the effective sample.
  • the step of checking the driving state of a particular valid sample and performing the filtering of the specific valid sample according to the result of the check located in the specific region of the managed valid samples Selecting valid samples running continuously through the base stations, extracting a specific valid sample from which the positioning is performed at a specific base station above a threshold value, and stopping the extracted specific valid sample from the selected valid samples; Repositioning the location of the particular valid sample at a predetermined period and determining the location of the particular valid sample, if the location is continuously relocated at the same or adjacent base station, removing the particular valid sample. Step and the result of re-evaluating the location of the particular valid sample, the next road phrase of the particular area If the position is located in the positioning station, it characterized in that it includes the step of maintaining the predetermined valid samples.
  • the step of checking the driving state of the particular valid sample and performing the filtering of the specific valid sample according to a confirmation result the specific area of the managed effective samples Selecting valid samples running continuously through the located base stations, extracting valid samples obtained by positioning at a base station not located in the specific region among the selected valid samples; Repositioning the position by a preset error tolerance value, checking whether the position of the specific valid sample is again located at the base station located in the specific region by using the repositioning result information of the specific valid sample; The location of a particular valid sample is re-located at a base station located in that particular area.
  • Wu when the position of the stage and the predetermined valid samples to maintain the predetermined valid samples that are not re-positioning from the base station located in the specific region, is characterized in that it comprises a step of removing the particular valid samples.
  • a program for executing a traffic information collection method is recorded.
  • the present invention calculates a mobile terminal device that passes through a boundary area of a specific area using a mobile communication network as an effective sample, and tracks the current location on the calculated effective sample and collects real-time traffic information based on the tracked location information.
  • more accurate sampling can be obtained in a complex urban area in which a vehicle mobile terminal, a resident, and a pedestrian are mixed, thereby improving the reliability of calculating the moving speed of the urban area.
  • the present invention by collecting a sample through the base station, it is possible to collect the traffic information in real time even in the unobtained area of the GPS probe (Probe) data, and in the long run to replace the GPS probe data to reduce the cost required for traffic information collection It can be effective to ensure the stability of the operation.
  • the present invention calculates the reliability of the samples detected in a specific area using a mobile communication network to select a good sample with high reliability, and maintain the selected good sample for the retention period and reuse it, the final for the effective sample
  • the average speed can be calculated more accurately by weighting the excellent sample, so that traffic information reflecting the actual traffic situation can be collected more accurately.
  • the present invention calculates the individual moving speed for the detected sample using the position tracking result information of the detected sample, and the reference speed or previously calculated for the individual moving speed of the detected sample and the actual communication speed of the specific region.
  • the excellent samples are selected and managed separately, so that the selected good samples can be maintained and reused for the retention period.
  • the final speed can be calculated to collect traffic information that more accurately reflects the actual traffic situation.
  • the present invention by weighting the excellent sample selected from the samples detected in a specific area by using a mobile communication network, by storing the good sample in the weight group corresponding to the weighted weight to be stored as an effective sample, Effective samples can be maintained and managed in a weighted group, and effective samples that are likely to contribute to the rate calculation can be efficiently managed by lowering the weighting step by step instead of immediately removing expired valid samples. It can work.
  • the present invention can reduce the cost of detecting the sample because it does not select a random sample by selecting a reliable good sample and keep it as a valid sample, and weights the good sample when calculating the final average for the effective sample Since the average speed can be calculated more precisely, traffic information reflecting the actual traffic situation can be collected more accurately.
  • the present invention by selecting a good sample with a reliable among the samples detected in a specific region using a mobile communication network when the selected excellent sample is managed as an effective sample immediately do not remove the sample running abnormally, a specific effective sample By analyzing the resultant information or the individual moving speed of a specific valid sample by re-evaluating the position of, check the driving condition of the specific valid sample once more, and remove or maintain the specific valid sample according to the confirmed result, which is likely to contribute to the speed calculation. Effectively managing effective samples.
  • FIG. 1 is a diagram showing the configuration of a traffic information collection system according to an embodiment of the present invention.
  • FIG. 2 is a diagram illustrating a configuration of a service device for calculating a valid sample in a traffic information collection system according to an embodiment of the present invention.
  • FIG. 3 is a diagram illustrating a configuration of a mobile terminal device for extracting a sample in a traffic information collection system according to an embodiment of the present invention.
  • FIG. 4 is a diagram illustrating an example in which a mobile terminal device passes a boundary area of a specific area according to an embodiment of the present invention.
  • FIG. 5 is a diagram illustrating a method for calculating an effective sample in a service device according to an exemplary embodiment of the present invention.
  • FIG. 6 is a diagram illustrating a method for collecting traffic information in a service device according to an exemplary embodiment of the present invention.
  • FIG. 7 is a diagram illustrating an example of sample detection in a traffic information collection system according to an embodiment of the present invention.
  • FIG. 8 is a diagram illustrating a method for collecting traffic information in a service device according to an exemplary embodiment of the present invention.
  • FIG. 9 is a diagram illustrating a method for managing valid samples when collecting traffic information in a service apparatus according to an exemplary embodiment of the present invention.
  • FIG. 10 is a diagram illustrating an example of an information table set in a valid sample according to an embodiment of the present invention.
  • FIG. 11 is a diagram illustrating an example for managing and including an effective sample in a weight group according to an embodiment of the present invention.
  • FIG. 12 is a diagram illustrating an example for moving and managing a deletion or a group of a valid specimen whose lifespan has expired according to an embodiment of the present invention.
  • FIG. 13 is a diagram illustrating a method for managing valid samples when collecting traffic information in a service apparatus according to an exemplary embodiment of the present invention.
  • FIG. 14 is a diagram illustrating a method for managing valid samples when collecting traffic information in a service device according to an exemplary embodiment of the present invention.
  • 15 is a diagram illustrating a method for managing valid samples when collecting traffic information in a service device according to an embodiment of the present invention.
  • FIG. 1 is a diagram showing the configuration of a traffic information collection system according to an embodiment of the present invention.
  • the traffic information collection system includes a service device 100, one or more mobile terminal devices 200 (200a, 200b,..., 200n) and a home location registration device 300 that interoperate through a mobile communication network 10. It can be configured to include.
  • the service device 100 connects to the mobile communication network 10 to communicate with at least one mobile terminal device 200 and a home location registration device 300, and tracks the location of at least one mobile terminal device 200. On request, a route guidance service may be provided based on the current location.
  • the service device 100 monitors the mobile terminal device 200 moving in the traffic information collection target area, detects a sample for collecting traffic information, tracks a current location of the detected sample, Collect real-time traffic information. In addition, the service device 100 checks the boundary area of the specific area in the traffic information collection target area, and weights a sample for one or more mobile terminal devices that pass through the identified boundary area among the detected samples, thereby valid sample. Can be calculated.
  • the service device 100 connects to the communication network 10 to communicate with at least one mobile terminal device 200 and a home location registration device 300, tracks the location of at least one mobile terminal device 200, and requests In accordance with the present invention, a route guidance service may be provided based on the current location.
  • the service device 100 monitors the mobile terminal device 200 moving in the traffic information collection target area, detects a sample for collecting traffic information, and tracks a current location of the detected sample to real-time on the moving path. Traffic information can be collected.
  • the service device 100 according to an embodiment of the present invention detects a sample of one or more mobile terminal devices passing through the base station 11 adjacent to a specific area in the traffic information collecting region, the sample detected in the specific area The location tracking result information of may be used to calculate the individual moving speed for the detected sample.
  • the service device 100 may select an excellent sample having a high probability of traveling a specific area according to the reliability determined by using the individual moving speeds of the extracted samples, and calculate an effective sample including the selected excellent sample.
  • the final average speed which is the communication speed in a specific area, can be calculated by weighting the individual moving speeds for the excellent samples and reflecting the individual moving speeds of the weighted good samples.
  • the service device 100 may calculate an average of individual detected moving speeds of the sample and calculate the calculated average speed as the final average speed in a specific region. In this case, by reflecting the weighted good sample, the individual moving speed of the weighted good sample when calculating the average value can give more nutrition.
  • the service device 100 may manage the traffic information collected by collecting real-time traffic information of a valid sample on a moving route of a specific area based on the location tracking result information and the final average speed.
  • the service device 100 may manage the traffic information collected by collecting real-time traffic information of a valid sample on a moving route of a specific area based on the location tracking result information and the final average speed.
  • the service device 100 may maintain and manage the recycled effective sample to be reflected when calculating the final average speed in order to accurately calculate the final average speed.
  • the service apparatus 100 manages a good sample that is detected as a reliable sample, and manages it as a separate sample set (hereinafter, referred to as a group) to set weights and maintained life time for each group to be managed as an effective sample.
  • the specimen can be kept without deleting even during abnormal driving.
  • the valid samples managed by the service device 100 or the currently detected samples may be checked to filter the abnormal samples to calculate the effective samples for maintenance and reuse.
  • the service device 100 is a case where the target sample exhibits abnormal driving, for example, when the sample stops for a while due to entering the highway rest area, etc. If you leave the road or no longer drive, you will be excluded from the sample to calculate the final average speed. If such a sample is a reliable valid sample, the service device 100 does not exclude the valid sample according to embodiments of the present invention, and calculates the effective sample to be reflected in calculating the final average speed for accurate final average speed calculation. After checking the driving condition so that it can be reused by maintaining it, it can be managed by judging whether the effective sample is deleted or maintained according to the confirmed result.
  • the service device 100 is an embodiment according to the driving state, such as when a particular sample is stopped for a while while driving on the road, when it is regarded as a stop due to severe congestion, or when the service device 100 is mistaken as being off the road due to positioning error.
  • the valid sample can be maintained and reused.
  • the mobile terminal device 200 refers to a terminal capable of transmitting and receiving various data via the mobile communication network 10 in accordance with a user's key operation, navigation, tablet PC (Tablet PC), smart phone (Smart Phone) ), A personal digital assistant (PDA) and a mobile communication terminal (Mobile Communication Terminal).
  • Tablet PC Tablet PC
  • smart phone Smart Phone
  • PDA personal digital assistant
  • Mobile Communication Terminal Mobile Communication Terminal
  • the mobile terminal device 200 is a terminal that performs voice or data communication using the mobile communication network 10, and provides a browser, a program, and a protocol for communicating with the service device 100 via the mobile communication network 10. It refers to a terminal having a memory for storing, a microprocessor for executing and controlling various programs. That is, the mobile terminal device 200 may be any terminal as long as the service device 100 and the server-client communication are possible, and include a communication computing device such as a notebook computer, a mobile communication terminal, and a PDA. On the other hand, the mobile terminal 200 is preferably manufactured in the form having a touch screen, but is not necessarily limited thereto.
  • the mobile terminal device 200 when the mobile terminal device 200 according to an embodiment of the present invention requests a location inquiry for sample calculation from the service device 100, the mobile terminal device 200 receives a paging request message from the currently connected base station 11, and accordingly By transmitting the paging response message to the base station 11, the communication range of the base station 11, that is, location information indicating that the location is located in the cell (Cell) is registered through the base station 11 to the home location registration device 300 can do.
  • the home location registration device 300 is a database of a home switching center that stores terminal information, subscription information, and authentication information of the mobile terminal device 200.
  • the home location registration device 300 may track the location of a sample according to a location inquiry request of the service device 100.
  • the location information inquiry can be requested to an exchange (not shown). Accordingly, the exchange may transmit a paging request message to the mobile terminal 200 through the base station 11.
  • location tracking result information location information, terminal identification information, And base station identification information.
  • the paging response message may include a timestamp and a base station ID with respect to call history information MIN of the mobile terminal device 200.
  • a mobile communication network 10 includes a network such as Code Division Multiple Access (CDMA), Wideband Code Division Multiple Access (WCDMA), Global System for Mobile Communications (GSM), Long Term Evolution (LTE), and Evolved Packet Core (EPC). It is the concept of the next generation network and computing network to be implemented in the future.
  • CDMA Code Division Multiple Access
  • WCDMA Wideband Code Division Multiple Access
  • GSM Global System for Mobile Communications
  • LTE Long Term Evolution
  • EPC Evolved Packet Core
  • FIG. 2 is a diagram illustrating a configuration of a service device for calculating a valid sample in a traffic information collection system according to an embodiment of the present invention.
  • the service device 100 includes a communication unit 110, a traffic information collecting unit 120, an effective sample calculating unit 130, a moving speed calculating unit 140, and a storage unit 150. can do.
  • the communication unit 110 communicates with the mobile terminal device 200 and the home location registration device 300 through the mobile communication network 10 to transmit and receive messages for collecting traffic information and calculating a valid sample.
  • the communication unit 110 may collect traffic information through a variety of communication methods as well as a wired method and a wireless method, and may communicate with the mobile terminal device 200 through a wireless method.
  • the communication unit 110 may transmit and receive data using one or more communication methods, and for this purpose, the communication unit 110 may include a plurality of communication modules that transmit and receive data according to different communication methods.
  • the traffic information collecting unit 120 monitors the mobile terminal device 200 moving in the traffic information collecting area to detect a sample, tracks a current position of the detected sample, and collects real-time traffic information on a moving route. Can be.
  • the traffic information collecting unit 120 analyzes call data of the base station located in the traffic information collecting area and detects a sample, and registers information registered when a handoff occurs in the base station located in the traffic information collecting area. By using the method of detecting a sample, a sample for collecting traffic information can be detected.
  • the traffic information collecting unit 120 may collect real-time traffic information based on the tracked location information by tracking the current location of the effective sample calculated from the detected samples.
  • the traffic information collector 120 may control to collect and store real-time traffic information on the valid samples calculated from the samples detected in the specific area based on the final average speed calculated by the movement speed calculator 140. Can be.
  • the traffic information collecting unit 120 analyzes call data of a base station adjacent to a specific area of a region to collect traffic information and detects a sample, and registers information registered when a handoff occurs in a base station adjacent to a specific area. By using the method of detecting a sample, it is possible to detect a sample for collecting traffic information.
  • the traffic information collecting unit 120 transmits a location inquiry request message for tracking the current location of the detected sample to the base station 11 located in the cell corresponding to the boundary area through the home location registration device 300, and the base station When the location information inquired is transmitted to the home location registration device 300 in step 11, a location inquiry response message including traffic information according to the location information inquired may be received from the home location registration device 300. Accordingly, the traffic information collecting unit 120 may map the traffic information included in the location inquiry response message with the identification information of the mobile terminal device 200 and store the traffic information in the storage unit 150.
  • the effective sample calculating unit 130 checks the boundary area of the specific area in the traffic information collecting area, and at least one mobile terminal device 200 passing through the identified boundary area among the samples detected by the traffic information collecting unit 120. ), And the weighted sample can be calculated as a valid sample.
  • the boundary area of the specific area is a boundary area between the suburban area and the downtown area in the traffic information collection area, and the traffic information collection area may correspond to the city area because the traffic information of the city area is to be collected.
  • the effective sample calculating unit 130 controls to generate an event signal through a base station located in a cell corresponding to the boundary region, and the mobile terminal is introduced into the downtown area from the detected sample using the traffic information on the detected sample. A sample of the device can be found. Accordingly, the valid sample calculator 130 may weight the confirmed sample and calculate the weighted sample as an effective sample when the traffic information about the confirmed sample includes event information according to the event signal. have.
  • the effective sample calculating unit 130 determines reliability using individual moving speeds of the detected samples, selects excellent samples having a high probability of traveling a specific area according to the determined reliability, and includes the selected excellent samples. You can calculate a sample. To this end, the effective sample calculating unit 130 may calculate the reliability of the detected sample based on the historical speed calculation statistics of the detected sample, and select the excellent sample in the order of the calculated reliability is high.
  • the valid sample calculator 130 may check the abnormal driving sample among the detected samples, remove the identified abnormal driving sample, and calculate the calculated abnormal driving sample. That is, the effective sample calculation unit 130 may remove a sample driving a stationary state, a deviation from a road, or another side-by-side road in each section of the detected samples, and remove a sample whose individual moving speed is out of the normal distribution. Can be. In this case, the effective sample calculator 130 may maintain the sample selected as the excellent sample so that it can be reused without being removed even in the case of a stationary state or a road departure.
  • the effective sample calculating unit 130 compares the similarity between the past final average speed for the detected sample and the individual moving speed for the detected sample to determine whether the similarity comparison value is included in the preset range. You can judge. As a result of the determination, when the similarity comparison value is included in the set range, the sample may be selected as an excellent sample. In this case, the effective sample calculating unit 130 may set the reliability higher as the similarity comparison value is higher, and sort the detected samples in the order in which the reliability is high.
  • the effective sample calculating unit 130 is an excellent sample of the detected sample based on the time difference between the occurrence time and the current time point comparing the occurrence time and the present time of the past final average speed of the detected number of times for the detected sample. The smaller the time difference is, the higher the reliability of the selected good sample can be.
  • the effective sample calculating unit 130 may select the excellent sample by comparing the speed similarity. For this purpose, the effective sample calculator 130 may individually move the specific sample calculated as the specific sample travels in the specific section. Analyzing the correlation between the speed and the reference speed of the corresponding section of the same time zone, the correlation coefficient of the moving speed is obtained.
  • a specific weighted sample can be selected as an excellent sample, classified separately, stored as a valid sample, and maintained and managed.
  • the threshold is a parameter value preset in the environment information.
  • the correlation coefficient is a value obtained by standardizing a covariance value indicating the similarity between a specific sample and a reference speed (or final average speed) of a corresponding section.
  • the correlation coefficient may be obtained by applying Equation 1 below.
  • This correlation coefficient is a numerical value (r (x, y)) indicating the degree of correlation between two variables (X, Y), the reference velocity (or the final average velocity in the past n times) and the individual movement velocity of a particular sample.
  • r (x, y) indicating the degree of correlation between two variables (X, Y), the reference velocity (or the final average velocity in the past n times) and the individual movement velocity of a particular sample.
  • the correlation coefficient r always has a value between -1 and 1, and the closer it is to 1, the higher the correlation is. Therefore, the effective sample calculation unit 130 calculates that the calculated correlation coefficient value r (x, y) is close to 1. The higher the reliability can be set.
  • the effective sample calculating unit 130 when the effective sample calculating unit 130 does not know the reference speed, the correlation between the final average speed of the past n times calculated using the calculated individual moving speeds of randomly detected samples and the calculated individual moving speeds of a specific sample is determined. The degrees can be compared. That is, the effective sample calculating unit 130 can obtain the correlation coefficient between the final average speed of the past n times and the calculated individual moving speed of the specific sample by applying Equation 1, and compares the obtained correlation coefficient with the threshold value. By comparing the correlation of the moving speed. Accordingly, the effective sample calculator 130 may select a particular sample as an excellent sample when the correlation coefficient is greater than the threshold.
  • the effective sample calculator 130 weights the excellent sample in the moving speed calculator 140, a separate storage space of the storage unit 150 as an effective sample to maintain and recycle the weighted excellent sample. It can be controlled to be stored at the site, the valid sample can be kept for the maintenance period of the preset environmental information, and can be recycled when collecting the traffic information in the next cycle.
  • the effective sample calculation unit 130 may control to store in a separate storage space of the storage unit 150 by setting environment information on selection criteria of the effective sample sample and criteria for reusing and maintaining the effective sample in advance. have.
  • the effective sample calculator 130 may set a cumulative error average between the actual driving speed and the reference speed as a parameter in preparation for the speed limit of the road, and set a threshold value, which is a reference value of the correlation coefficient, as a parameter of the environmental information.
  • the effective sample calculating unit 130 controls to store the selected excellent sample in a separate storage space of the storage unit 150 to maintain and recycle the selected good sample, and maintains the good sample for the maintenance period of the preset environmental information. Can be recycled to collect traffic information in the cycle.
  • the effective sample calculation unit 130 may control to store in a separate storage space of the storage unit 150 by presetting the environment information on the selection criteria of the excellent sample, the criteria for reuse and maintenance of the excellent sample. .
  • the valid sample calculator 130 may check the abnormal driving sample among the detected samples, remove the identified abnormal driving sample, and calculate the calculated abnormal driving sample. That is, the effective sample calculation unit 130 may remove a sample driving a stationary state, a deviation from a road, or another side-by-side road in each section of the detected samples, and remove a sample whose individual moving speed is out of the normal distribution. Can be. In this case, the effective sample calculator 130 may maintain the sample selected as the excellent sample so that it can be reused without being removed even in the case of a stationary state or a road departure.
  • the effective sample calculating unit 130 compares and correlates the similarity (correlation) between the actual road traffic speed or the past final average speed for a preset number of times for the detected sample and the individual moving speed for the detected sample. Higher samples can be selected as good samples and managed as valid samples. In this case, the effective sample calculating unit 130 may set the reliability higher as the correlation is higher, and sort the detected samples in the order in which the reliability is high. In the embodiment of the present invention, in addition to such a good sampling method, it is possible to select a reliable good sample having a high probability of traveling on a driving road in various ways, and to reflect all the detected samples when calculating the final speed, that is, traffic information. It may be selected as a sample for collection and managed as a valid sample.
  • the effective sample calculating unit 130 controls to store the selected excellent sample in a separate storage space of the storage unit 150 to maintain and reuse the selected excellent sample, and maintains the valid sample for a predetermined period of preservation of environmental information. It can be reused when collecting traffic information in the next cycle.
  • the effective sample calculating unit 130 is a valid sample selected from the corresponding group according to the weight and correlation coefficient given by different weights are assigned to the excellent sample selected by the moving speed calculation unit 140 You can manage it by including it.
  • the effective sample calculating unit 130 may configure n weight groups in stages to manage effective samples having similar weights by including them in the weight groups in the order of high weight.
  • the valid samples included in each weight group have a lifespan for each weight group. For example, as shown in FIG.
  • the effective sample calculating unit 130 may include the effective sample A with a weight of 1.2 and included in the lowest group 1, and the effective sample B with a weight of 2. Can be included in Group 2 of the next stage, and Effective Sample C can be weighted to 3 and included in Group 3 of the next stage.
  • the weight groups may be configured by dividing the group based on the weight, as shown in Figure 14 attached, for example, the weight 1 ⁇ 2 is the first group (Group 1), the weight 2 ⁇ 3 is In the second group (Group 2), weights 3 to 4 are set to the third group (Group 3), weights 4 to 5 are set to the fourth group (Group 4), weight 5 is set to the fifth group (Group 5) A weight group can be configured.
  • the effective sample calculation unit 130 may control to store in a separate storage space of the storage unit 150 by presetting the environment information on the selection criteria of the excellent sample, the criteria for reuse and maintenance of the excellent sample.
  • the information related to the valid samples includes correlation coefficient information necessary for the reliability, information on weights given to the valid samples, information on the groups to which the valid samples belong, information on the life time to maintain the valid samples, and individual moving speeds of the valid samples. And identification information and the like.
  • the valid sample calculator 130 analyzes the valid samples included in each group at regular intervals, or, when a valid sample expires, the moving speed and A valid sample without weight updating is detected, and the detected valid sample is removed from the effective sample set while gradually decreasing the group of weights of the detected valid sample. Specifically, as shown in FIG. 15, the valid sample calculating unit 130 deletes the detected valid sample from the valid sample set when the detected valid sample includes the lowest weight group. If not included in the weight group of the step, it may be moved to the next lower step group to reset and manage the weight and life time corresponding to the moved weight group.
  • the moving speed calculating unit 140 calculates an average moving speed using the traffic information on at least one valid sample calculated by the valid sample calculating unit 130, and calculates the average moving speed by using the traffic information collecting target area, that is, downtown. Can be set to the movement speed of the area. Accordingly, traffic information may be collected based on an average moving speed set at a later time when collecting traffic information, and based on this, the mobile terminal device 200 may provide services such as location-based service and road guidance.
  • the movement speed calculator 140 may calculate the movement speed for each preset section.
  • the movement speed calculator 140 may calculate individual movement speeds of the detected specimens using the location tracking result information of the specimens detected in the specific region. In this case, the movement speed calculator 140 may calculate an individual movement speed by identifying a moment passing through the handoff point of the base station adjacent to a specific region through the location tracking of the detected sample.
  • the moving speed calculating unit 140 may check the individual moving speeds of the effective samples, calculate the average by summing all the identified individual moving speeds, and calculate the final average speed using the calculated average speed. In this case, the moving speed calculating unit 140 may give weights to individual moving speeds of the excellent samples among the detected samples, and select them first when calculating the final average speed, and reflect them when calculating the average value of the individual moving speeds.
  • the movement speed calculating unit 140 calculates the individual movement speeds for each sample detected in a specific region by time and each section, and stores the details of the calculated individual movement speeds separately by time and each section.
  • the controller may control and manage past individual moving speeds and final average speeds within a preset range.
  • the moving speed calculating unit 140 may calculate the average speed for each section for the effective sample when calculating the final average speed, and compares the calculated average speed for each section with the average speed for each section of the previous period.
  • the final average speed can be calculated by correcting (smoothing) so that does not occur.
  • the service device 100 may generate a service rate based on the calculated final average speed and provide the generated service rate to the service user.
  • the moving speed calculating unit 140 may check the individual moving speeds of the effective samples, calculate the average by summing all the identified individual moving speeds, and calculate the final average speed using the calculated average speed. In this case, the moving speed calculating unit 140 weights the individual moving speeds for the selected excellent samples among the samples detected by the effective sample calculating unit 130 according to a correlation coefficient, thereby giving a weight when calculating the final average speed.
  • the selected effective samples may be selected first to calculate the average of the individual moving speeds of the selected stormwater samples.
  • the moving speed calculator 140 may assign a higher weight as the calculated correlation coefficient approaches 1, that is, the higher the reliability is set.
  • the moving speed calculating unit 140 may reflect the final average speed calculated by reflecting the weight of the effective sample calculated in the previous period at a predetermined period when calculating the final average speed of the current section, and the variable for the reflecting ratio is It can be set as a parameter value in the environment information.
  • the movement speed calculating unit 140 may partially reflect the communication information of the previous time zone (period) when calculating the final average speed to be provided as the hourly communication speed of a specific section, and also the weight of each valid sample through the previous communication information. Can be updated. As a result, samples with high contributions are largely reflected in the final average speed calculation, while samples with low consistency or large deviations from the delivery rate can be reflected in the final average speed calculation.
  • the movement speed calculating unit 140 calculates the individual movement speeds for each sample detected in a specific region by time and each section, and stores the details of the calculated individual movement speeds separately by time and each section.
  • the controller may control and manage past individual moving speeds and final average speeds within a preset range.
  • the moving speed calculating unit 140 may calculate the average speed for each section for the effective sample when calculating the final average speed, and compares the calculated average speed for each section with the average speed for each section of the previous period.
  • the final average speed can be calculated by correcting (smoothing) so that does not occur.
  • the service device 100 may generate a communication speed that is a service speed based on the calculated final average speed, and provide the generated communication speed to a service user.
  • the movement speed calculator 140 may calculate individual movement speeds of the detected specimens using the location tracking result information of the specimens detected in the specific region. In this case, the movement speed calculator 140 may calculate an individual movement speed by identifying a moment passing through the handoff point of the base station adjacent to a specific region through the location tracking of the detected sample.
  • the moving speed calculating unit 140 may check the individual moving speeds of the effective samples, calculate the average by summing all the identified individual moving speeds, and calculate the final average speed using the calculated average speed.
  • the moving speed calculator 140 may give weights to individual moving speeds of the excellent samples among the detected samples, and select the priorities when calculating the final average speed to calculate an average of individual moving speeds of the excellent samples.
  • the moving speed calculating unit 140 calculates a weight based on a correlation between the actual traffic speed of the road or the previous final average speed and the individual moving speeds of the selected one or more excellent samples, and assigns the weight to the good samples. . For example, as shown in FIG. 6, if the correlation of the effective sample A, that is, the correlation coefficient is 0.3, the weight can be given to 1.2, and if the correlation coefficient of the effective sample B is 0.5, the weight is 2; If the correlation coefficient of the effective sample C is 0.9, the weight can be set to 3.
  • Variables for weights according to the correlation coefficient may be preset as environment information, and one or more pieces of information (parameters) among the number of weight groups, the range of correlation coefficients of weight groups, and the life time of each weight group are preset as environment information. Can be. Parameters for the number of weight groups, the range of correlation coefficients of the weight groups, and the life time for each weight group may vary with an environment setting value.
  • the movement speed calculating unit 140 calculates the individual movement speeds for each sample detected in a specific region by time and each section, and stores the details of the calculated individual movement speeds separately by time and each section.
  • the controller may control and manage past individual moving speeds and final average speeds within a preset range.
  • the moving speed calculating unit 140 may calculate the average speed for each section for the effective sample when calculating the final average speed, and compares the calculated average speed for each section with the average speed for each section of the previous period.
  • the final average speed can be calculated by correcting (smoothing) so that does not occur.
  • the service device 100 may generate a service rate based on the calculated final average speed and provide the generated service rate to the service user.
  • the storage unit 150 may store traffic information collected in real time based on the location tracking information and the location tracking information of the mobile terminal device 200.
  • the storage unit 150 is the traffic information collected by the traffic information collecting unit 120, the information on the detected sample, the maintenance and reuse information for the excellent sample, the information on the calculated effective sample, the calculated individual moving speed At least one of the information about the information, the calculated information on the final average speed, the information of the mobile terminal 200 and the base station information of the sampling target may be stored in the corresponding storage space.
  • the storage unit 150 encrypts and stores unique identification information about one or more mobile terminal devices 200 as a hash value by using a one-way hash algorithm, and maintains and reuses excellent samples.
  • the unique identification information may not be stored in each storage space in which the information about the calculated individual moving speed and the calculated final average speed are stored. Accordingly, in the embodiment of the present invention, by encrypting the unique identification information of the mobile terminal device 200 which is essential for maintaining the sample so as not to be decrypted, it is possible to improve the protection and security of the personal information.
  • the storage unit 150 is the traffic information collected by the traffic information collecting unit 120, the information on the detected sample, the maintenance and reuse information for the excellent sample, the information on the calculated effective sample, the calculated individual moving speed At least one of information on the information, the calculated information on the final average speed, the information of the mobile terminal device 200, the information on the threshold value and the base station information of the sampling target may be stored in the corresponding storage space.
  • the storage unit 150 encrypts and stores unique identification information about one or more mobile terminal devices 200 as a hash value by using a one-way hash algorithm, and maintains and reuses excellent samples.
  • the unique identification information may not be stored in each storage space in which the information about the calculated individual moving speed and the calculated final average speed are stored. Accordingly, in the embodiment of the present invention, by encrypting the unique identification information of the mobile terminal device 200 which is essential for maintaining the sample so as not to be decrypted, it is possible to improve the protection and security of the personal information.
  • the storage unit 150 stores the traffic information collected by the traffic information collecting unit 120, information on detected samples, maintenance and reuse information on storm water samples, information on calculated effective samples, and calculated individual movement speeds.
  • One or more of information, information on the calculated final average speed, information of the mobile terminal device 200, and base station information of a sampling target may be stored in a corresponding storage space.
  • the storage unit 150 encrypts and stores unique identification information about one or more mobile terminal devices 200 as a hash value by using a one-way hash algorithm, and maintains and reuses excellent samples.
  • the unique identification information may not be stored in each storage space in which the information about the calculated individual moving speed and the calculated final average speed are stored. Accordingly, in the embodiment of the present invention, by encrypting the unique identification information of the mobile terminal device 200 which is essential for maintaining the sample so as not to be decrypted, it is possible to improve the protection and security of the personal information.
  • FIG. 3 is a diagram illustrating a configuration of a mobile terminal apparatus for extracting a sample in a traffic information collection system according to an embodiment of the present invention.
  • the mobile terminal device 200 may include a control unit 210, an input unit 220, a communication unit 230, a storage unit 240, and an output unit 250.
  • the controller 210 performs overall control of the mobile terminal device 200.
  • the controller 210 may control related operations so that the mobile terminal device 200 may be used for generating traffic information, and collected by the service device 100.
  • the operation related to the execution of various services (eg, location-based services, route guidance services, etc.) provided by using the traffic information may be controlled.
  • the controller 210 controls to perform a call processing procedure by accessing the base station 11 and to transmit call data to the call control server (not shown) of the mobile communication network 10 through the base station 11.
  • the home location registration apparatus 300 transmits a paging response message including its current location information and identification information to the home switching center through the base station 11. It can be controlled to register with.
  • the communication unit 220 communicates with the service apparatus 100 through the mobile communication network 10 and transmits and receives data for receiving various services using traffic information.
  • the communication unit 220 may transmit and receive data using one or more communication methods, and for this purpose, the communication unit 220 may include a plurality of communication modules that transmit and receive data according to different communication methods.
  • the input unit 230 may generate a user input signal corresponding to a user's request or information according to a user's operation, and may be implemented by various input means that are currently commercialized or may be commercialized in the future. For example, a keyboard and a mouse In addition to a general input device such as a joystick, a touch screen, a touch pad, and the like, a gesture input means for detecting a user's motion and generating a specific input signal may be included. In particular, the input unit 230 may be provided with input information for executing various services using the provided traffic information.
  • the storage unit 240 stores information necessary for the operation of the mobile terminal device 200, and in particular, may store information related to various services using traffic information provided from the service device 100.
  • the storage unit 240 may include an optical recording medium such as a magnetic media such as a hard disk, a floppy disk, and a magnetic tape, a compact disk read only memory (CD-ROM), and a digital video disk (DVD). And magneto-optical media such as floppy disks and ROM, random access memory (RAM), and flash memory.
  • the output unit 250 is a means for providing a user to recognize the operation result or state of the mobile terminal device 200.
  • the output unit 250 may include a display unit for visually outputting a screen or a speaker for outputting an audible sound. It may include.
  • the output unit 250 may display a screen related to various services using the traffic information provided from the service device 100.
  • FIG. 5 is a diagram illustrating a method for calculating a valid sample in a service device according to an embodiment of the present invention.
  • the service device 100 detects a sample by monitoring a mobile terminal device moving in a traffic information collecting target area, for example, a specific downtown area.
  • the service device 100 checks a boundary area of a specific area in a traffic information collecting area (city area). That is, the service device 100 sets the boundary area between the downtown area and the suburban area as a specific area boundary area, and checks the boundary area using preset road information.
  • a traffic information collecting area city area
  • the service device 100 detects samples of one or more mobile terminal devices that pass through the identified boundary area among the detected samples, that is, from the suburban area to the downtown area. In this case, the service device 100 checks the collected traffic information on the sample of the detected one or more mobile terminal devices, and checks whether the collected traffic information includes event information according to occurrence of an event signal.
  • the service device 100 calculates a valid sample by weighting the identified sample.
  • the service device 100 collects real-time traffic information on the movement route by tracking the current position of the calculated valid sample.
  • the service device 100 requests a location inquiry to the home location registration device 300 using the identification number of the currently connected mobile terminal device 100
  • the home location registration device 300 switches the exchange of its home switching center.
  • the location information inquiry request ie, the paging request message
  • the mobile terminal device 100 transmits a paging response message including its location information and identification information through the connected base station 11 to the home location registration device 300.
  • the home location registration device 300 registers and stores location tracking result information (location information, terminal identification information, base station identification information, etc.) included in the received paging response message. In this case, the home location registration device 300 transmits the traffic information according to the received location tracking result information to the service device 100.
  • location tracking result information location information, terminal identification information, base station identification information, etc.
  • the service device 100 calculates the calculated average moving speed of the effective sample and sets the calculated average moving speed as the moving speed of the downtown area.
  • FIG. 6 is a diagram illustrating a method for collecting traffic information in a service device according to an exemplary embodiment of the present invention.
  • the service device 100 detects one or more samples by monitoring one or more mobile terminal devices 200 passing through the base station 11 adjacent to a specific area.
  • the service device 100 detects a sample for each preset section, and detects the sample by using call data of a base station adjacent to a specific region and information registered when a handoff occurs in the base station.
  • the service device 100 tracks the moving path of the detected sample, stores the location tracking result information obtained through the moving path tracking, and uses the location tracking result information to individually move the detected sample. Calculate the speed.
  • the service apparatus 100 determines the instant when the detected sample passes the handoff point of the base station 11 to generate an individual moving speed of the sample.
  • Such individual movement speed may be calculated, for example, by dividing the distance between the handoff points of the base stations by the time difference passed through the handoff points.
  • the service device 100 calculates the reliability of the detected sample by comparing the similarity between the past final average speed for the detected sample and the individual moving speed for the detected sample. In this case, the higher the similarity comparison value, the higher the reliability.
  • the service device 100 selects an excellent sample having a high probability of traveling in a specific area according to the established reliability.
  • the service device 100 compares the similarity between the past final average speed of the detected sample and the individual moving speed of the detected sample, and the similarity comparison value is included in the preset range. If the similarity comparison value is within the preset range, it is determined whether the detected sample is an excellent sample, and the higher the similarity comparison value of the selected excellent sample, the higher the reliability and the higher the reliability. Sort the detected samples.
  • the service device 100 checks the occurrence time point of the past final average speed for a predetermined number of times for the detected sample, and compares the confirmed occurrence time point with the current time point. If the time difference from the time point is included in the preset time range, the detected sample is selected as the good sample. At this time, the smaller the time difference is, the higher the reliability of the selected good sample is.
  • the service device 100 calculates a valid sample including the selected excellent sample. In this case, the service device 100 calculates the remainder of the detected sample from the detected sample as a valid sample, and if there is a sample selected as the best sample among the driving abnormal samples, the excellent sample is maintained without being removed. do.
  • the service device 100 calculates an average of the calculated individual moving speeds of the effective sample, and calculates the calculated average speed as the final average speed in the specific region. In this case, the service device 100 assigns weights to individual moving speeds of the selected excellent sample to reflect the average value.
  • the service device 100 collects real-time traffic information in a specific area based on the calculated final average speed, stores the collected traffic information for each section, and executes the mobile terminal device of the service user in real time.
  • the traffic information may be processed at 200 to provide a service (route guidance or location-based service).
  • FIG. 8 is a diagram illustrating a method for collecting traffic information in a service device according to an exemplary embodiment of the present invention.
  • the service device 100 detects one or more samples by monitoring one or more mobile terminal devices 200 passing through the base station 11 adjacent to a specific area.
  • the service device 100 detects a sample for each preset section, and detects the sample by using call data of a base station adjacent to a specific region and information registered when a handoff occurs in the base station.
  • the service device 100 tracks the movement path of the detected sample, stores the location tracking result information obtained through the movement path tracking, and calculates the individual moving speed of the detected sample using the location tracking result information. do.
  • the service apparatus 100 determines the instant when the detected sample passes the handoff point of the base station 11 to generate an individual moving speed of the sample.
  • Such individual movement speed may be calculated, for example, by dividing the distance between the handoff points of the base stations by the time difference passed through the handoff points.
  • the service device 100 selects one or more samples having high reliability among the detected samples as excellent samples, and weights the selected good samples according to a reliability formula, that is, a correlation scheme.
  • the service apparatus 100 may perform a correlation (similarity) comparison for selecting and weighting a good sample by using a reference speed or a past final average speed of a predetermined number of times.
  • the service device 100 checks whether the reference speed, which is the actual communication speed of the specific area, is known through the probe vehicle traveling in the specific area of the driving road. As a result of checking, if the reference speed is not known, the service device 100 randomly calculates moving speeds of samples detected in a specific area in step 4102 and separately stores the calculation of moving speed for each time and section in step 1103. Save to space In this case, the service device 100 stores and manages the final average speed value calculated by calculating the final average speed, which is the final calculation speed, based on the movement speed calculation details for each time and for each section.
  • the service device 100 calculates a similarity comparison, that is, a correlation coefficient between the past final average speed for the detected sample and the individual moving speeds for one or more specific samples moving through the specific region. Then perform step 4107.
  • a similarity comparison that is, a correlation coefficient between the past final average speed for the detected sample and the individual moving speeds for one or more specific samples moving through the specific region.
  • the service device 100 calculates the moving speed of one or more specific samples passing through the base station 11 in the specific region in step 4105. Then, in step 4106, the correlation coefficient between the calculated moving speed and the reference speed of the specific sample is calculated, and then step 4107 is performed.
  • the service device 100 compares the calculated correlation coefficient with a threshold. Accordingly, if the correlation coefficient is greater than the threshold value, in step 4108, the service device 100 selects a specific sample as an excellent sample having a high probability of traveling in a specific region, and weights the selected excellent sample according to the correlation coefficient. That is, the service device 100 gives a higher weight as the correlation between the selected excellent samples becomes larger.
  • the service device 100 stores the selected excellent sample as a valid sample in a separate storage space. In this case, the service device 100 calculates the remainder of the detected sample from the detected sample as a valid sample, and if there is a sample selected as the best sample among the driving abnormal samples, the excellent sample is maintained without being removed. do.
  • the service apparatus 100 calculates an average of the individual moving speeds by reflecting the calculated weight of the effective sample, and calculates the calculated average speed as the final average speed in the specific region.
  • the service device 100 collects real-time traffic information in a specific area based on the calculated final average speed, stores and manages the collected traffic information for each section, and the mobile terminal device 200 of the service user in real time. Traffic information can be processed to provide services (route guidance or location-based services).
  • FIG. 9 is a diagram illustrating a method for managing valid samples when collecting traffic information in a service apparatus according to an embodiment of the present invention
  • FIG. 10 is an example of an information table set to valid samples according to an embodiment of the present invention
  • 11 is a diagram illustrating an example for managing and including an effective sample in a weight group according to an embodiment of the present invention
  • FIG. 12 is an expiration date according to an embodiment of the present invention.
  • FIG. 1 is a diagram illustrating an example for managing by deleting a valid sample or moving a group.
  • the service device 100 detects one or more samples by monitoring one or more mobile terminal devices 200 passing through the base station 11 adjacent to a specific area.
  • the service device 100 detects a sample for each preset section, and detects the sample by using call data of a base station adjacent to a specific region and information registered when a handoff occurs in the base station. Accordingly, the service device 100 tracks the movement path of the detected sample, stores the location tracking result information obtained through the movement path tracking, and calculates an individual moving speed of the detected sample using the location tracking result information. do.
  • the service device 100 identifies the instant when the detected sample passes the handoff point of the base station 11 and generates individual moving speeds of the sample. Such individual movement speed may be calculated, for example, by dividing the distance between the handoff points of the base stations by the time difference passed through the handoff points.
  • the service device 100 analyzes the correlation between the past final average speed or the actual communication speed for the detected sample and the individual moving speed for the detected sample, and according to the result of analysis And then select the samples with high reliability above a certain level as excellent samples. In this case, the service device 100 calculates a remainder of the detected sample from which the driving abnormality is removed, as a valid sample. When there is a sample selected as the excellent sample among the driving abnormal samples, the excellent sample is maintained without being removed. do.
  • the service device 100 calculates the weight according to the correlation coefficient of the selected excellent sample and assigns the weight to the selected excellent sample in step 5103.
  • the service device 100 selects a group corresponding to the given weight from among the n groups configured according to the given weight, and sets the life time of the excellent sample selected as the life time of the selected group.
  • the service device 100 includes the excellent sample in the selected group and stores and manages the service sample for the life time set as the valid sample. For example, as shown in FIG. 11, when the weight of the newly detected good sample (Sample D, 71) is 2.5, the service device 100 sets the detected good sample 71 to the second weight group. Include it in (Group 2) and save it.
  • the service device 100 periodically analyzes the valid sample set, that is, the valid samples included in each group, and detects the valid sample whose life time expires. That is, the service device 100 detects a valid sample in which the moving speed and the weight are not updated during the lifetime. At this time, the valid samples in which the moving speed and the weight update are continuously updated among the valid samples included in each group may also be updated in the group life time so that they can be continuously included in the group. If the life time is not updated, the service device 100 detects valid samples for which the life time expires, and then extracts valid samples for which the moving speed and weight are not updated among the detected valid samples. At this time, the service apparatus 100 sets the life time again in the valid samples in which the moving speed and the weight are updated among the valid samples whose life time has expired, or moves them to the corresponding group according to the updated weight. You can also
  • the service device 100 checks the group including the detected valid sample to determine whether the included group is the lowest group. As a result of the check, in the case of the lowest level group, the service device 100 deletes the detected valid sample from the valid sample set in step 5108. For example, as shown in FIG. 12, the service apparatus 100 may extend the effective sample A as the life time of the valid sample A included in the first weight group Group 1 expires. Delete due to expiration.
  • the service device 100 moves and manages the valid sample from the currently included group to the next lower level group in step 5109. For example, as shown in FIG. 8, when the detected valid sample is included in the second group (Group 2) as the expired valid sample B (Sample B), the service device 100 Effective Sample B is moved to the first group. In this case, the service device 100 may newly set a weight and a life time corresponding to the group moved to the detected valid sample, for example, a weight 2 and a life time 100.
  • the service apparatus 100 re-evaluates the correlation coefficient based on the currently calculated individual moving speed of the detected effective sample based on the detected effective sample, and weights it again according to the identified correlation coefficient, thereby giving the weight. It can also be managed in a group corresponding to. Accordingly, if the valid samples included in the low-level group are again given a high reliability weight, the service device 100 may again include and manage the valid samples in the high-level group corresponding to the assigned weight. .
  • the service device 100 calculates an average of the individual moving speeds of the effective samples calculated by reflecting the weights assigned to the individual moving speeds of the effective samples, and calculates the calculated average speed as the final average speed in a specific region. can do.
  • FIG. 13 is a diagram illustrating a method for managing valid samples when collecting traffic information in a service apparatus according to an exemplary embodiment of the present invention.
  • the service device 100 sets the reliability based on the individual moving speeds of the detected specimens, and thus, the probability of driving on a driving road, that is, a specimen having a high reliability level above a certain level. One or more of these high samples are selected as good samples. In this case, the service device 100 performs filtering to remove a sample showing a driving abnormality from the detected sample. If there is a sample selected as the best sample among the driving abnormal samples, the excellent sample is not removed even when the abnormal driving is performed. Store and manage as a valid sample to keep it intact. At this time, the service device 100 calculates the final average speed of the samples detected by time and section. In this case, the service device 100 may assign a weight to the effective sample in order to first reflect the final average speed.
  • the service device 100 extracts a valid sample that travels abnormally among the valid samples maintained. To this end, the service device 100 analyzes the location information of the effective samples and repeats at a specific base station among the effective samples located by successively passing base stations included in a specific base station list located on a specific area, that is, a driving road. To extract a valid sample of the location.
  • the service device 100 determines that the extracted one or more specific valid samples are stopped at a specific base station, that is, the valid samples in a stopped state, and the extracted specific valid samples are determined by a predetermined number of times of regular rounds ( For example, check the driving status by repositioning the position more than 20 times in 1 minute interval.
  • step 6104 the service device 100 checks whether the location of a specific valid sample is relocated at the same or neighbor base station 11.
  • the service device 100 removes the specific valid sample from the valid sample list in step 6105.
  • the service device 100 does not remove the specific valid sample in step 6106. Keep it as it is.
  • FIG. 14 is a diagram illustrating a method for managing valid samples when collecting traffic information in a service device according to an exemplary embodiment of the present invention.
  • the service apparatus 100 determines the reliability of the detected sample and selects the samples having high reliability above a predetermined level as excellent samples. In this case, the service device 100 performs filtering to remove a sample showing a driving abnormality from the detected sample. If there is a sample selected as the best sample among the driving abnormal samples, the excellent sample is not removed even when the abnormal driving is performed. Store and manage as a valid sample to keep it intact. At this time, the service device 100 calculates the final average speed of the samples detected by time and section. In this case, the service device 100 may assign a weight to the effective sample in order to first reflect the final average speed.
  • the service device 100 checks the driving state by using information about individual moving speeds, which are driving speeds of the valid valid samples, to extract the valid samples that are abnormally driven among the valid valid samples. . Accordingly, in operation 6203, the service device 100 compares the identified individual moving speed with the sample traveling speed allowable value.
  • the service device 100 determines that the vehicle is in normal driving state and maintains the specific valid sample as it is.
  • the service device 100 calculates an average speed value and a standard deviation value of another valid sample of the corresponding road section on the driving road in step 6204. For example, due to the congestion of the interval, if the individual moving speed of a particular valid sample is 4 km and the allowable value is 5 km, then the individual moving speed is less than the allowable value, so that the specific effective sample is not removed as an object to be removed and Valid samples are compared with driving conditions to determine whether they should be deleted or maintained.
  • the service device 100 calculates a low speed reference value using the calculated average speed value and standard deviation value in step 6205.
  • the service device 100 compares the calculated low speed reference value with the individual moving speed of the specific stamp sample.
  • the service device 100 deletes a specific valid sample in step 6208.
  • the service device 100 may maintain and manage a specific valid sample in operation 6207.
  • 15 is a diagram illustrating a method for managing valid samples when collecting traffic information in a service device according to an embodiment of the present invention.
  • the service device 100 selects the samples having high reliability above a certain level as excellent samples by setting the reliability based on the individual moving speeds of the detected samples. In this case, the service device 100 performs filtering to remove a sample showing a driving abnormality from the detected sample. If there is a sample selected as the best sample among the driving abnormal samples, the excellent sample is not removed even when the abnormal driving is performed. Store and manage as a valid sample to keep it intact. At this time, the service device 100 calculates the final average speed of the samples detected by time and section. In this case, the service device 100 may assign a weight to the effective sample in order to first reflect the final average speed.
  • the service device 100 continuously passes base stations included in the base station list on the driving road among the valid samples maintained by analyzing the location information of the effective sample, and then locates the base station not included in the base station list. Extract specific registered valid samples.
  • the service device 100 repositions the extracted specific valid sample by an error tolerance value.
  • the service device 100 checks the location information for reviewing to check the driving state of the specific valid sample, that is, the specific valid sample is registered in the base station in the driving road, that is, the base station included in the base station list, that is, the base station. Check if it returns to.
  • the service device 100 removes the specific valid sample from the base station list in step 6305.
  • the service device 100 calculates the individual moving speed of the specific valid sample in the corresponding road section again from the return time while maintaining and managing the specific valid sample in step 6306.
  • the program instructions to be recorded may be those specially designed and constructed for the present invention, or may be known and available to those skilled in computer software.
  • the recording medium may be magnetic media such as hard disks, floppy disks and magnetic tapes, optical disks such as Compact Disk Read Only Memory (CD-ROM), digital video disks (DVD), Magnetic-Optical Media, such as floppy disks, and hardware devices specially configured to store and execute program instructions, such as ROM, random access memory (RAM), flash memory, and the like. do.
  • Examples of program instructions may include high-level language code that can be executed by a computer using an interpreter as well as machine code such as produced by a compiler.
  • Such hardware devices may be configured to operate as one or more software modules to perform the operations of the present invention, and vice versa.
  • a computer program (also known as a program, software, software application, script or code) mounted on an apparatus according to the invention and executing a method according to the invention comprises a compiled or interpreted language or a priori or procedural language. It can be written in any form of programming language, and can be deployed in any form, including stand-alone programs or modules, components, subroutines, or other units suitable for use in a computer environment. Computer programs do not necessarily correspond to files in the file system.
  • a program may be in a single file provided to the requested program, in multiple interactive files (eg, a file that stores one or more modules, subprograms, or parts of code), or part of a file that holds other programs or data. (Eg, one or more scripts stored in a markup language document).
  • the computer program may be deployed to run on a single computer or on multiple computers located at one site or distributed across multiple sites and interconnected by a communication network.
  • the present invention relates to a traffic information collection method, apparatus and a traffic information collection system, and collects and processes traffic information using a mobile communication network to calculate an effective sample for a mobile terminal device passing through a boundary area of a specific area.
  • the reliability of the samples detected when collecting traffic information is maintained and recycled, and when the traffic information is collected, the effective samples with high reliability of the detected samples are generated to generate reliable communication information.
  • the present invention calculates a mobile terminal device that passes through the boundary region of a specific area using a mobile communication network as an effective sample, and tracks the current location on the calculated effective sample and real-time traffic information based on the tracked location information.
  • the present invention by collecting a sample through the base station, it is possible to collect the traffic information in real time even in the unobtained area of the GPS probe (Probe) data, and in the long run to replace the GPS probe data to reduce the cost required for traffic information collection It can be effective to ensure the stability of the operation.
  • the present invention calculates the reliability of the samples detected in a specific area using a mobile communication network to select a good sample with high reliability, and maintain the selected good sample for the retention period and reuse it, the final for the effective sample
  • the average speed can be calculated more accurately by weighting the excellent sample, so that traffic information reflecting the actual traffic situation can be collected more accurately.
  • the present invention calculates the individual moving speed for the detected sample using the position tracking result information of the detected sample, and the reference speed or previously calculated for the individual moving speed of the detected sample and the actual communication speed of the specific region. By comparing the correlations between the final speeds, the excellent samples are selected and managed separately, so that the selected good samples can be maintained and reused for the retention period.
  • the final speed can be calculated to collect traffic information that more accurately reflects the actual traffic situation.
  • the present invention by weighting the excellent sample selected from the samples detected in a specific area by using a mobile communication network, by storing the good sample in the weight group corresponding to the weighted weight to be stored as an effective sample, Effective samples can be maintained and managed in a weighted group, and effective samples that are likely to contribute to the rate calculation can be efficiently managed by lowering the weighting step by step instead of immediately removing expired valid samples. It can work.
  • the present invention can reduce the cost of detecting the sample because it does not select a random sample by selecting a reliable good sample and keep it as a valid sample, and weights the good sample when calculating the final average for the effective sample Since the average speed can be calculated more precisely, traffic information reflecting the actual traffic situation can be collected more accurately.
  • the present invention by selecting a good sample with a reliable among the samples detected in a specific region using a mobile communication network when the selected excellent sample is managed as an effective sample immediately do not remove the sample running abnormally, a specific effective sample By analyzing the resultant information or the individual moving speed of a specific valid sample by re-evaluating the position of, check the driving condition of the specific valid sample once more, and remove or maintain the specific valid sample according to the confirmed result, which is likely to contribute to the speed calculation. Effectively managing effective samples.
  • the present invention has industrial applicability because the present invention is not only sufficiently commercially available or commercially viable, but also practically clearly implemented.

Landscapes

  • Chemical & Material Sciences (AREA)
  • Analytical Chemistry (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Engineering & Computer Science (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Mobile Radio Communication Systems (AREA)

Abstract

La présente invention concerne un procédé de collecte d'informations de trafic, un appareil et un système associés. En particulier, la présente invention collecte et traite des informations de trafic en utilisant un réseau de communication mobile pour ainsi calculer un échantillon efficace pour un dispositif terminal mobile qui passe à travers une limite d'une région particulière, formule une fiabilité de l'échantillon détecté à l'instant de la collecte des informations de trafic, maintient et recycle un échantillon de façon très fiable, calcule un échantillon efficace, de façon très fiable, détecté lors de la collecte d'informations de trafic pour ainsi générer des informations de communication de façon fiable et est capable de gérer l'échantillon efficace destiné à être réutilisé.
PCT/KR2014/012477 2014-01-10 2014-12-17 Procédé de collecte d'informations de trafic, appareil et système associés Ceased WO2015105287A1 (fr)

Applications Claiming Priority (10)

Application Number Priority Date Filing Date Title
KR10-2014-0003292 2014-01-10
KR1020140003292A KR102200602B1 (ko) 2014-01-10 2014-01-10 유효 표본을 산출하기 위한 방법, 이를 위한 장치 및 교통 정보 수집 시스템
KR1020140004390A KR102173925B1 (ko) 2014-01-14 2014-01-14 교통 정보 수집을 위한 방법 및 이를 위한 장치
KR10-2014-0004390 2014-01-14
KR10-2014-0017213 2014-02-14
KR1020140017214A KR102173926B1 (ko) 2014-02-14 2014-02-14 교통 정보 수집 시스템에서의 유효 표본을 관리하기 위한 방법 및 장치
KR1020140017215A KR20150096565A (ko) 2014-02-14 2014-02-14 교통 정보 수집 시스템, 그 시스템에서의 유효 표본을 관리하기 위한 방법 및 장치
KR10-2014-0017215 2014-02-14
KR10-2014-0017214 2014-02-14
KR1020140017213A KR102200601B1 (ko) 2014-02-14 2014-02-14 교통 정보 수집을 위한 방법 및 이를 위한 장치

Publications (1)

Publication Number Publication Date
WO2015105287A1 true WO2015105287A1 (fr) 2015-07-16

Family

ID=53524083

Family Applications (1)

Application Number Title Priority Date Filing Date
PCT/KR2014/012477 Ceased WO2015105287A1 (fr) 2014-01-10 2014-12-17 Procédé de collecte d'informations de trafic, appareil et système associés

Country Status (1)

Country Link
WO (1) WO2015105287A1 (fr)

Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP3306587A1 (fr) * 2016-10-04 2018-04-11 FAST Recognition AG Identification d'un dispositif mobile utilisé par l'utilisateur d'un véhicule
CN109035777A (zh) * 2018-08-23 2018-12-18 河南中裕广恒科技股份有限公司 交通运行态势分析方法及系统
CN109405843A (zh) * 2018-09-21 2019-03-01 北京三快在线科技有限公司 一种路径规划方法及装置和移动设备
CN111723831A (zh) * 2019-03-20 2020-09-29 北京嘀嘀无限科技发展有限公司 一种数据融合方法及装置
CN113706866A (zh) * 2021-08-27 2021-11-26 中国电信股份有限公司 道路堵塞监测方法及装置、电子设备、存储介质

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2007179348A (ja) * 2005-12-28 2007-07-12 Xanavi Informatics Corp 交通状況予測方法およびその装置ならびにプログラム
US20100114466A1 (en) * 2008-10-30 2010-05-06 Denso Corporation Route search device and information control server
KR20100095152A (ko) * 2009-02-20 2010-08-30 한양대학교 산학협력단 변동 계수에 의한 공정 관리 방법 및 장치
KR20120029211A (ko) * 2010-09-16 2012-03-26 에스케이플래닛 주식회사 이동통신망을 이용한 교통정보 수집시스템, 그 유효 표본 보정 장치 및 그룹 별 평균 속도 산출 방법, 이를 위한 기록매체
KR20120041957A (ko) * 2010-10-22 2012-05-03 에스케이플래닛 주식회사 교통정보 수집 시스템, 그 유효표본 보정 장치 및 유효표본 보정 방법

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2007179348A (ja) * 2005-12-28 2007-07-12 Xanavi Informatics Corp 交通状況予測方法およびその装置ならびにプログラム
US20100114466A1 (en) * 2008-10-30 2010-05-06 Denso Corporation Route search device and information control server
KR20100095152A (ko) * 2009-02-20 2010-08-30 한양대학교 산학협력단 변동 계수에 의한 공정 관리 방법 및 장치
KR20120029211A (ko) * 2010-09-16 2012-03-26 에스케이플래닛 주식회사 이동통신망을 이용한 교통정보 수집시스템, 그 유효 표본 보정 장치 및 그룹 별 평균 속도 산출 방법, 이를 위한 기록매체
KR20120041957A (ko) * 2010-10-22 2012-05-03 에스케이플래닛 주식회사 교통정보 수집 시스템, 그 유효표본 보정 장치 및 유효표본 보정 방법

Cited By (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP3306587A1 (fr) * 2016-10-04 2018-04-11 FAST Recognition AG Identification d'un dispositif mobile utilisé par l'utilisateur d'un véhicule
CN109035777A (zh) * 2018-08-23 2018-12-18 河南中裕广恒科技股份有限公司 交通运行态势分析方法及系统
CN109405843A (zh) * 2018-09-21 2019-03-01 北京三快在线科技有限公司 一种路径规划方法及装置和移动设备
CN109405843B (zh) * 2018-09-21 2020-01-03 北京三快在线科技有限公司 一种路径规划方法及装置和移动设备
CN111723831A (zh) * 2019-03-20 2020-09-29 北京嘀嘀无限科技发展有限公司 一种数据融合方法及装置
CN111723831B (zh) * 2019-03-20 2023-11-14 北京嘀嘀无限科技发展有限公司 一种数据融合方法及装置
CN113706866A (zh) * 2021-08-27 2021-11-26 中国电信股份有限公司 道路堵塞监测方法及装置、电子设备、存储介质
CN113706866B (zh) * 2021-08-27 2023-08-08 中国电信股份有限公司 道路堵塞监测方法及装置、电子设备、存储介质

Similar Documents

Publication Publication Date Title
WO2015105287A1 (fr) Procédé de collecte d'informations de trafic, appareil et système associés
WO2020231193A1 (fr) Procédé de gestion de faisceau, appareil, dispositif électronique et support de stockage lisible par ordinateur
WO2020168606A1 (fr) Procédé, appareil et dispositif d'optimisation de vidéo publicitaire, et support d'informations lisible par ordinateur
WO2011021899A2 (fr) Procédé et dispositif pour générer, gérer et partager un chemin mobile
WO2021235648A1 (fr) Procédé et appareil pour accéder à une cellule de réseau
WO2012011690A2 (fr) Système et procédé pour un service basé sur l'emplacement permettant de naviguer à l'intérieur
WO2020075942A1 (fr) Procédé de prédiction d'informations de circulation routière, appareil et programme informatique
WO2012046926A1 (fr) Procédé de communication d'un point d'accès véhiculaire, équipement d'utilisateur véhiculaire et station de base macro
WO2012091529A2 (fr) Terminal
WO2021040214A1 (fr) Robot mobile et son procédé de commande
WO2019139462A2 (fr) Procédé et terminal utilisateur permettant d'informer un utilisateur d'un instant d'arrivée
WO2010119996A1 (fr) Procédé et dispositif de fourniture d'annonces publicitaires à images mobiles
WO2016175564A1 (fr) Procédé et dispositif de reconnaissance de contenu audio
WO2019107782A1 (fr) Système, serveur et procédé de fourniture d'informations
WO2021150060A1 (fr) Procédé et appareil de service informatique périphérique
WO2020141900A1 (fr) Robot mobile et son procédé d'avancement
WO2016199996A1 (fr) Procédé de service de gestion de partie et dispositif associé
WO2022240147A1 (fr) Analyse de réseau basée sur une pluralité de résolutions d'emplacements d'ue
WO2014119912A1 (fr) Procédé et dispositif de regroupement de serveurs, et support d'enregistrement
WO2020171605A1 (fr) Procédé de fourniture d'informations de conduite et serveur de fourniture de carte de véhicules et procédé associé
WO2022005053A1 (fr) Procédé et dispositif permettant d'évaluer un conducteur en utilisant un système adas
WO2014178582A1 (fr) Procédé pour calculer une position de sortie de secours à la demande pour une région de déplacement dans un réseau routier
WO2013129804A1 (fr) Procédé, système, et support d'enregistrement pour analyser l'ensemble de règles de réduction de charge d'un réseau radio
WO2011068315A4 (fr) Appareil permettant de sélectionner une base de données optimale en utilisant une technique de reconnaissance de force conceptuelle maximale et procédé associé
WO2020076056A1 (fr) Dispositif et procédé de commande de délestage de trafic

Legal Events

Date Code Title Description
121 Ep: the epo has been informed by wipo that ep was designated in this application

Ref document number: 14877625

Country of ref document: EP

Kind code of ref document: A1

NENP Non-entry into the national phase

Ref country code: DE

122 Ep: pct application non-entry in european phase

Ref document number: 14877625

Country of ref document: EP

Kind code of ref document: A1