[go: up one dir, main page]

CN109584402A - A kind of driving habit analysis system and its analysis method - Google Patents

A kind of driving habit analysis system and its analysis method Download PDF

Info

Publication number
CN109584402A
CN109584402A CN201811483778.7A CN201811483778A CN109584402A CN 109584402 A CN109584402 A CN 109584402A CN 201811483778 A CN201811483778 A CN 201811483778A CN 109584402 A CN109584402 A CN 109584402A
Authority
CN
China
Prior art keywords
speed
quickly
judged
acceleration
time
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.)
Pending
Application number
CN201811483778.7A
Other languages
Chinese (zh)
Inventor
马陈刚
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.)
Jiaxing Xingshi'an Vehicle Networking Information Technology Co Ltd
Original Assignee
Jiaxing Xingshi'an Vehicle Networking Information Technology 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
Application filed by Jiaxing Xingshi'an Vehicle Networking Information Technology Co Ltd filed Critical Jiaxing Xingshi'an Vehicle Networking Information Technology Co Ltd
Priority to CN201811483778.7A priority Critical patent/CN109584402A/en
Publication of CN109584402A publication Critical patent/CN109584402A/en
Pending legal-status Critical Current

Links

Classifications

    • GPHYSICS
    • G07CHECKING-DEVICES
    • G07CTIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
    • G07C5/00Registering or indicating the working of vehicles
    • G07C5/08Registering or indicating performance data other than driving, working, idle, or waiting time, with or without registering driving, working, idle or waiting time
    • G07C5/0808Diagnosing performance data
    • GPHYSICS
    • G07CHECKING-DEVICES
    • G07CTIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
    • G07C5/00Registering or indicating the working of vehicles
    • G07C5/08Registering or indicating performance data other than driving, working, idle, or waiting time, with or without registering driving, working, idle or waiting time
    • G07C5/0816Indicating performance data, e.g. occurrence of a malfunction
    • GPHYSICS
    • G07CHECKING-DEVICES
    • G07CTIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
    • G07C5/00Registering or indicating the working of vehicles
    • G07C5/08Registering or indicating performance data other than driving, working, idle, or waiting time, with or without registering driving, working, idle or waiting time
    • G07C5/0841Registering performance data

Landscapes

  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Measurement Of Unknown Time Intervals (AREA)
  • Time Recorders, Dirve Recorders, Access Control (AREA)

Abstract

The invention discloses a kind of driving habit analysis system and its analysis methods, belong to technical field of vehicle.The driving habit analysis system includes obtaining module, for obtaining speed and time from vehicle bus when speed often changes;Screening module receives the speed of acquisition and the time and determines effective speed;Judgment module judges driving condition for effective speed and time based on the received;Display module, for counting the number of the same day each driving condition and showing statistical result.The beneficial effect is that effective speed and time are analyzed and calculated and shown after passing through the statistics of accumulative superposition through the invention, so that driver is got information about the driving habit of oneself and optimize in time, ensure that travel safety.

Description

A kind of driving habit analysis system and its analysis method
Technical field
The invention belongs to technical field of vehicle, and in particular to a kind of driving habit analysis system and its analysis method.
Background technique
As the improvement of people's living standards, vehicle is almost the essential vehicles of every household, with this vehicle Increase, the traffic accident as caused by the bad steering habit of driver is also increasing, vehicle currently on the market It is usually individually to show current vehicle speed and running time on display, this display mode cannot intuitively reflect driver Driving habit and driving condition, if things go on like this, driver is easy to form bad steering habit without knowing, therefore proposes one Kind driving habit analysis system and its analysis method.
Summary of the invention
The present invention is directed to the situation of the prior art, provides a kind of driving habit analysis system and its analysis method.
The present invention use following technical scheme, a kind of driving habit analysis system, including
Module is obtained, for obtaining speed and time from vehicle bus when speed often changes and being transferred to screening mould Block;
Screening module received the speed of acquisition and the time and determines effective speed, if the duration of the speed obtained The speed is then abandoned less than 1s, if the duration of the speed obtained is more than or equal to 1s, it is determined that for effective speed and should Effective speed and time tranfer are to judgment module;
Judgment module judges driving condition for effective speed and time based on the received and is transferred to judging result aobvious Show module, the driving condition includes accelerating too quickly, brake too quickly, the fast traveling of tortoise and happy traveling;
Display module, for counting the number of the same day each driving condition and showing statistical result.
As a further improvement of the above technical scheme, the judgment module includes that first judging unit and secondary judgement are single Member, in which:
The first judging unit is used to judge driving condition for the first time according to the duration of effective speed and will First judging result is conveyed to the secondary judging unit of secondary judging unit, if the duration of effective speed arrives in 1s Between 10s, then it is judged as and accelerates too quickly or brake too quickly, if the duration of effective speed in 10s or more, judges For tortoise speed traveling or happy traveling;
The secondary judging unit is for receiving first judging result and determining driving condition according to secondary decision logic.
As a further improvement of the above technical scheme, the secondary decision logic is
If first judging result is to accelerate too quickly or brake too quickly, according to formula
Acceleration=(3600*1000* (commencing speed-end speed))/duration (wherein acceleration in the formula Unit is Km/s2, commencing speed and the unit for terminating speed are Km/s, and the unit of duration is s)
The acceleration driven at this time is calculated, is judged as that acceleration is too quickly if acceleration is positive number, if acceleration is Negative and acceleration are less than -460Km/s2, then it is judged as that brake is too quickly;
If the result judged for the first time travels as tortoise speed or happy traveling, further judged according to effective speed, If effective speed is greater than 20Km/h, judge to drive at this time to travel freely, if effectively speed is sentenced 0 to 20Km/h Disconnected drive at this time is that tortoise speed travels.
As a further improvement of the above technical scheme, described to accelerate too quickly to include that starting accelerates too quickly and driving to accelerate Suddenly.
As a further improvement of the above technical scheme, the secondary decision logic further comprises
In the case where being judged as the too quickly situation of acceleration, if acceleration is greater than 270Km/s2And commencing speed and end speed are small In 20Km/h, then it is too quickly to be judged as that starting accelerates, if acceleration is greater than 320Km/s2, then it is too quickly to be judged as that driving accelerates.
On the other hand, the present invention uses following technical scheme, a kind of driving habit analysis method, including following step It is rapid:
Step S1: speed and the time when speed often changes are obtained from vehicle bus;
Step S2: determining whether from the speed of acquisition and in the time as effective speed, if the speed obtained continues Time is less than 1s and then abandons the speed, if the duration of the speed obtained is more than or equal to 1s, it is determined that is effective speed;
Step S3: driving condition is judged according to effective speed and time;
Step S4: the number of the statistics same day each driving condition simultaneously shows statistical result.
As a further improvement of the above technical scheme, the step S3 further comprises:
Step S3.1: judging driving condition according to the duration of effective speed for the first time, if effective vehicle Speed duration between 1s to 10s, then be judged as accelerate it is too quickly or brake it is too quickly, if effective speed it is lasting when Between in 10s or more, then be judged as tortoise speed traveling or happy traveling;
Step S3.2: carrying out secondary judgement according to the first judging result of step S3.1, if first judging result is to add Speed is too quickly or brake is too quickly, then according to formula
Acceleration=(3600*1000* (commencing speed-end speed))/duration (wherein acceleration in the formula Unit is Km/s2, commencing speed and the unit for terminating speed are Km/s, and the unit of duration is s)
The acceleration driven at this time is calculated, is judged as that acceleration is too quickly if acceleration is positive number, if acceleration is Negative and acceleration are less than -460Km/s2, then it is judged as that brake is too quickly;
If the result judged for the first time travels as tortoise speed or happy traveling, further judged according to effective speed, If effective speed is greater than 20Km/h, judge to drive at this time to travel freely, if effectively speed is sentenced 0 to 20Km/h Disconnected drive at this time is that tortoise speed travels.
As a further improvement of the above technical scheme, further include step S3.3 after the step S3.2:
Step S3.3: too quickly driving condition is accelerated further to be judged to being judged as, if acceleration is greater than 270Km/s2And commencing speed and end speed are respectively less than 20Km/h, then it is too quickly to be judged as that starting accelerates, if acceleration is greater than 320Km/s2, then it is too quickly to be judged as that driving accelerates.
As a further improvement of the above technical scheme, in the step S4 by the way of accumulative superposition to each driving State is counted.
A kind of driving habit analysis system and its analysis method disclosed by the invention, the beneficial effect is that, the application side Case is analyzed and is calculated using the speed and time of variation to judge driving condition, and passes through the statistics side of accumulative superposition Method will be shown after data statistics, so that driver is got information about the driving habit of oneself and is optimized, and be guaranteed Travel safety, in addition, the driving habit analysis method that this programme proposes is simple and easy, it is highly reliable.
Detailed description of the invention
Fig. 1 is a kind of structural block diagram of driving habit analysis system in the present invention.
Fig. 2 is a kind of flow chart of driving habit analysis method in the present invention.
Specific embodiment
The invention discloses a kind of driving habit analysis system and its analysis methods, below with reference to preferred embodiment, to this The specific embodiment of invention is further described.
Referring to Figure 1 of the drawings, Fig. 1 shows a kind of structure composition of driving habit analysis system in the present invention.Described one Kind driving habit analysis system, including obtain module, screening module, judgment module and display module, in which:
The acquisition module is used to obtain speed and time from vehicle bus when speed often changes and is transferred to sieve Modeling block;
The screening module is used to receive the speed obtained and time and determines effective speed, if the speed obtained is held The continuous time is less than 1s and then abandons the speed, if the duration of the speed obtained is more than or equal to 1s, it is determined that is effective speed And by effective speed and time tranfer to judgment module;
The judgment module judges driving condition and transmits judging result for effective speed and time based on the received To display module, the driving condition includes accelerating too quickly, brake too quickly, the fast traveling of tortoise and happy traveling;
The display module is used to count the number of the same day each driving condition and shows statistical result.
Wherein, accelerate it is too quickly refer to when the acceleration that real-time speed accelerates at least 1s be more than critical value when be identified For accelerate it is too quickly, brake it is too quickly refer to when the acceleration that real-time speed is slowed down at least 1s be more than critical value when be identified as Slow down too quickly, tortoise speed traveling refers to speed is kept 0 at least 10s or more is persistently kept between 20Km/h, and happy traveling refers to Speed is maintained at the duration at least 10s of 20Km/h or more.
Preferably, the judgment module includes first judging unit and secondary judging unit, in which:
The first judging unit is used to judge driving condition for the first time according to the duration of effective speed and will First judging result is conveyed to the secondary judging unit of secondary judging unit, if the duration of effective speed arrives in 1s Between 10s, then it is judged as and accelerates too quickly or brake too quickly, if the duration of effective speed in 10s or more, judges For tortoise speed traveling or happy traveling;
The secondary judging unit is for receiving first judging result and determining driving condition according to secondary decision logic.
Preferably, the secondary decision logic is
If first judging result is to accelerate too quickly or brake too quickly, according to formula
Acceleration=(3600*1000* (commencing speed-end speed))/duration
The acceleration driven at this time is calculated, is judged as that acceleration is too quickly if acceleration is positive number, if acceleration is Negative and acceleration are less than -460Km/s2, then it is judged as that brake is too quickly;
If the result judged for the first time travels as tortoise speed or happy traveling, further judged according to effective speed, If effective speed is greater than 20Km/h, judge to drive at this time to travel freely, if effectively speed is sentenced 0 to 20Km/h Disconnected drive at this time is that tortoise speed travels.
Wherein, the unit of acceleration is Km/s in formula2, commencing speed and the unit for terminating speed are Km/s, when continuing Between unit be s, commencing speed and to terminate speed be respectively effective speed that front and back obtains twice in formula, before the duration is Time difference corresponding to the effective speed obtained twice afterwards.
Preferably, the acceleration is too quickly accelerates too quickly and acceleration of driving a vehicle too quickly including starting.
Preferably, the secondary decision logic further comprises
In the case where being judged as the too quickly situation of acceleration, if acceleration is greater than 270Km/s2And commencing speed and end speed are small In 20Km/h, then it is too quickly to be judged as that starting accelerates, if acceleration is greater than 320Km/s2, then it is too quickly to be judged as that driving accelerates.
Referring to Fig. 2 of attached drawing, Fig. 2 shows a kind of flow charts of driving habit analysis method in the present invention.Described one kind Driving habit analysis method, comprising the following steps:
Step S1: speed and the time when speed often changes are obtained from vehicle bus;
Step S2: determining whether from the speed of acquisition and in the time as effective speed, if the speed obtained continues Time is less than 1s and then abandons the speed, if the duration of the speed obtained is more than or equal to 1s, it is determined that is effective speed;
Step S3: driving condition is judged according to effective speed and time;
Step S4: the number of the statistics same day each driving condition simultaneously shows statistical result.
Preferably, the step S3 further comprises:
Step S3.1: judging driving condition according to the duration of effective speed for the first time, if effective vehicle Speed duration between 1s to 10s, then be judged as accelerate it is too quickly or brake it is too quickly, if effective speed it is lasting when Between in 10s or more, then be judged as tortoise speed traveling or happy traveling;
Step S3.2: carrying out secondary judgement according to the first judging result of step S3.1, if first judging result is to add Speed is too quickly or brake is too quickly, then according to formula
Acceleration=(3600*1000* (commencing speed-end speed))/duration
The acceleration driven at this time is calculated, is judged as that acceleration is too quickly if acceleration is positive number, if acceleration is Negative and acceleration are less than -460Km/s2, then it is judged as that brake is too quickly;
If the result judged for the first time travels as tortoise speed or happy traveling, further judged according to effective speed, If effective speed is greater than 20Km/h, judge to drive at this time to travel freely, if effectively speed is sentenced 0 to 20Km/h Disconnected drive at this time is that tortoise speed travels.
Wherein, the unit of acceleration is Km/s in formula2, commencing speed and the unit for terminating speed are Km/s, when continuing Between unit be s, commencing speed and to terminate speed be respectively effective speed that front and back obtains twice in formula, before the duration is Time difference corresponding to the effective speed obtained twice afterwards.
Preferably, further include step S3.3 after the step S3.2:
Step S3.3: too quickly driving condition is accelerated further to be judged to being judged as, if acceleration is greater than 270Km/s2And commencing speed and end speed are respectively less than 20Km/h, then it is too quickly to be judged as that starting accelerates, if acceleration is greater than 320Km/s2, then it is too quickly to be judged as that driving accelerates.
Preferably, each driving condition is counted by the way of accumulative superposition in the step S4.
For a person skilled in the art, technical solution documented by foregoing embodiments can still be repaired Change or equivalent replacement of some of the technical features, it is all within the spirits and principles of the present invention, made any to repair Change, equivalent replacement, improvement etc., should be included in protection scope of the present invention.

Claims (9)

1. a kind of driving habit analysis system, which is characterized in that including
Module is obtained, for obtaining speed and time from vehicle bus when speed often changes and being transferred to screening module;
Screening module receives the speed of acquisition and the time and determines effective speed, if the duration of the speed obtained is less than 1s then abandons the speed, if the duration of the speed obtained is more than or equal to 1s, it is determined that effectively for effective speed and by this Speed and time tranfer are to judgment module;
Judgment module judges driving condition for effective speed and time based on the received and judging result is transferred to display mould Block, the driving condition include accelerating too quickly, brake too quickly, the fast traveling of tortoise and happy traveling;
Display module, for counting the number of the same day each driving condition and showing statistical result.
2. a kind of driving habit analysis system according to claim 1, which is characterized in that the judgment module includes first Judging unit and secondary judging unit, in which:
The first judging unit is used to judge driving condition for the first time according to the duration of effective speed and will be first Judging result is conveyed to the secondary judging unit of secondary judging unit, if the duration of effective speed 1s to 10s it Between, then it is judged as and accelerates too quickly or brake too quickly, if the duration of effective speed in 10s or more, is judged as tortoise Speed traveling or happy traveling;
The secondary judging unit is for receiving first judging result and determining driving condition according to secondary decision logic.
3. a kind of driving habit analysis system according to claim 2, which is characterized in that the secondary decision logic is
If first judging result is to accelerate too quickly or brake too quickly, according to formula
Acceleration=(3600*1000* (commencing speed-end speed))/duration calculates the acceleration driven at this time, such as Fruit acceleration is that positive number is then judged as that acceleration is too quickly, if acceleration is negative and acceleration is less than -460Km/s2, then it is judged as It brakes too quickly;
If the result judged for the first time travels as tortoise speed or happy traveling, further judged according to effective speed, if Effective speed is greater than 20Km/h, then judges to drive at this time to travel freely, if effectively speed judges this 0 to 20Km/h When drive be tortoise speed travel.
4. a kind of driving habit analysis system according to claim 3, which is characterized in that described to accelerate too quickly to include starting Too quickly and driving is accelerated to accelerate too quickly.
5. a kind of driving habit analysis system according to claim 4, which is characterized in that the secondary decision logic is into one Step includes
In the case where being judged as the too quickly situation of acceleration, if acceleration is greater than 270Km/s2And commencing speed and end speed are respectively less than It is too quickly to be then judged as that starting accelerates by 20Km/h, if acceleration is greater than 320Km/s2, then it is too quickly to be judged as that driving accelerates.
6. a kind of driving habit analysis method, which comprises the following steps:
Step S1: speed and the time when speed often changes are obtained from vehicle bus;
Step S2: determining whether from the speed of acquisition and in the time as effective speed, if the duration of the speed obtained The speed is then abandoned less than 1s, if the duration of the speed obtained is more than or equal to 1s, it is determined that be effective speed;
Step S3: driving condition is judged according to effective speed and time;
Step S4: the number of the statistics same day each driving condition simultaneously shows statistical result.
7. a kind of driving habit analysis method according to claim 6, which is characterized in that the step S3 is further wrapped It includes:
Step S3.1: judging driving condition according to the duration of effective speed for the first time, if effective speed Duration between 1s to 10s, is then judged as and accelerates too quickly or brake too quickly, if the duration of effective speed exists 10s or more is then judged as tortoise speed traveling or happy traveling;
Step S3.2: carrying out secondary judgement according to the first judging result of step S3.1, if first judging result is to accelerate Violent or brake is too quickly, then according to formula
Acceleration=(3600*1000* (commencing speed-end speed))/duration
The acceleration driven at this time is calculated, is judged as that acceleration is too quickly if acceleration is positive number, if acceleration is negative And acceleration is less than -460K/s2, then it is judged as that brake is too quickly;
If the result judged for the first time travels as tortoise speed or happy traveling, further judged according to effective speed, if Effective speed is greater than 20Km/h, then judges to drive at this time to travel freely, if effectively speed judges this 0 to 20Km/h When drive be tortoise speed travel.
8. a kind of driving habit analysis method according to claim 7, which is characterized in that also wrapped after the step S3.2 Include step S3.3:
Step S3.3: accelerating too quickly driving condition further to be judged to being judged as, if acceleration is greater than 270Km/s2And Commencing speed and end speed are respectively less than 20Km/h, then it is too quickly to be judged as that starting accelerates, if acceleration is greater than 320Km/s2, then It is too quickly to be judged as that driving accelerates.
9. a kind of driving habit analysis method according to claim 6, which is characterized in that using accumulative in the step S4 The mode of superposition counts each driving condition.
CN201811483778.7A 2018-12-06 2018-12-06 A kind of driving habit analysis system and its analysis method Pending CN109584402A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201811483778.7A CN109584402A (en) 2018-12-06 2018-12-06 A kind of driving habit analysis system and its analysis method

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201811483778.7A CN109584402A (en) 2018-12-06 2018-12-06 A kind of driving habit analysis system and its analysis method

Publications (1)

Publication Number Publication Date
CN109584402A true CN109584402A (en) 2019-04-05

Family

ID=65927651

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201811483778.7A Pending CN109584402A (en) 2018-12-06 2018-12-06 A kind of driving habit analysis system and its analysis method

Country Status (1)

Country Link
CN (1) CN109584402A (en)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110395261A (en) * 2019-06-25 2019-11-01 东风商用车有限公司 A kind of online starting driving habit appraisal procedure

Citations (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20110224868A1 (en) * 2010-03-12 2011-09-15 John K. Collings, III System for Determining Driving Pattern Suitability for Electric Vehicles
US20130046458A1 (en) * 2011-08-18 2013-02-21 Dufournier Technologies Device and process for vehicle driving evaluation
CN103413359A (en) * 2013-07-18 2013-11-27 江苏中科天安智联科技有限公司 Bad driving behavior analysis evaluation system
US8903594B2 (en) * 2010-07-08 2014-12-02 Denso Corporation Driving diagnosis apparatus and program for same
CN104875731A (en) * 2015-05-19 2015-09-02 交通运输部公路科学研究所 Method for identifying rapid acceleration or rapid deceleration of vehicle in real time by using satellite positioning data
CN105185112A (en) * 2015-08-21 2015-12-23 深圳市北斗软核信息技术有限公司 Driving behavior analysis and recognition method and system
CN106683399A (en) * 2015-11-10 2017-05-17 湖南南车时代电动汽车股份有限公司 Method of acquiring road condition state of bus
CN107284451A (en) * 2017-06-22 2017-10-24 北京雄信息科技有限公司 The monitoring method and system of bad steering behavior based on GPS
CN108154283A (en) * 2016-12-06 2018-06-12 北京嘀嘀无限科技发展有限公司 Driver driving behavior analysis method and device
CN108463855A (en) * 2015-12-21 2018-08-28 汤姆逊许可公司 Method and apparatus for the behavior pattern for detecting user
CN108694756A (en) * 2018-05-09 2018-10-23 北京九五智驾信息技术股份有限公司 The method that driving behavior is analyzed

Patent Citations (11)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20110224868A1 (en) * 2010-03-12 2011-09-15 John K. Collings, III System for Determining Driving Pattern Suitability for Electric Vehicles
US8903594B2 (en) * 2010-07-08 2014-12-02 Denso Corporation Driving diagnosis apparatus and program for same
US20130046458A1 (en) * 2011-08-18 2013-02-21 Dufournier Technologies Device and process for vehicle driving evaluation
CN103413359A (en) * 2013-07-18 2013-11-27 江苏中科天安智联科技有限公司 Bad driving behavior analysis evaluation system
CN104875731A (en) * 2015-05-19 2015-09-02 交通运输部公路科学研究所 Method for identifying rapid acceleration or rapid deceleration of vehicle in real time by using satellite positioning data
CN105185112A (en) * 2015-08-21 2015-12-23 深圳市北斗软核信息技术有限公司 Driving behavior analysis and recognition method and system
CN106683399A (en) * 2015-11-10 2017-05-17 湖南南车时代电动汽车股份有限公司 Method of acquiring road condition state of bus
CN108463855A (en) * 2015-12-21 2018-08-28 汤姆逊许可公司 Method and apparatus for the behavior pattern for detecting user
CN108154283A (en) * 2016-12-06 2018-06-12 北京嘀嘀无限科技发展有限公司 Driver driving behavior analysis method and device
CN107284451A (en) * 2017-06-22 2017-10-24 北京雄信息科技有限公司 The monitoring method and system of bad steering behavior based on GPS
CN108694756A (en) * 2018-05-09 2018-10-23 北京九五智驾信息技术股份有限公司 The method that driving behavior is analyzed

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN110395261A (en) * 2019-06-25 2019-11-01 东风商用车有限公司 A kind of online starting driving habit appraisal procedure
CN110395261B (en) * 2019-06-25 2021-05-11 东风商用车有限公司 Online starting driving habit evaluation method

Similar Documents

Publication Publication Date Title
CN104882008B (en) A method for cooperative control of vehicles at unsignalized intersections under the environment of Internet of Vehicles
CN107139919B (en) Self-protection method for vehicle anti-rear collision early warning
CN105654719B (en) A kind of fatigue driving analysis method and device
CN111038502A (en) Safe vehicle distance pre-estimation, correction, early warning and driving qualification evaluation method and system
CN106683228B (en) Driving environment-based fuel economy evaluation method and device, and server
CN113386778B (en) A rapid deceleration driving behavior determination method based on vehicle trajectory data
CN110789576B (en) Collaborative formation train safety protection scene division method and device
CN102556043A (en) Automobile control system and automobile control method based on traffic light recognition
CN107945556A (en) A kind of dynamic speed limit optimal control method under through street adverse weather
WO2012038738A3 (en) Driver profiling system and method
CN103366574A (en) Method for calculating delays in intersection based on motorcade following theory
CN109559499B (en) Vehicle platoon running management platform, control method and vehicle terminal
CN107563931A (en) A kind of real-time driving behavior quality appraisal procedure of vehicle based on the Big Dipper or gps data
CN106600745A (en) Vehicle driving behavior record generating method and system
CN103213550B (en) A kind of braking automobile safety instruction control system and safety instruction control method
CN109017437A (en) A kind of electronic automobile-used torque control method
CN108099768B (en) LED intelligent regulation and control method with multi-information analysis function
CN102887120B (en) Method for strengthening message of CAN (Controller Area Network) bus
CN109584402A (en) A kind of driving habit analysis system and its analysis method
CN117284295A (en) Energy-saving driving control method in intelligent driving vehicle mixed traffic flow
WO2018232897A1 (en) Method and device for intelligent driving in foggy day
CN114973695B (en) Vehicle priority passing control method and related equipment
CN113954874B (en) Automatic driving control method based on improved intelligent driver model
CN108597217B (en) Expressway accident monitoring and prompting method
KR100798815B1 (en) Application Method of Application Distance of Integrated Vehicle Behavior System for Automatic Driving

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
RJ01 Rejection of invention patent application after publication

Application publication date: 20190405

RJ01 Rejection of invention patent application after publication