KR101824614B1 - Valiable speed limit managementing system method thereof - Google Patents

Abstract

The present invention discloses a speed limit management system and method. According to the present invention, the road surface friction coefficient is calculated in consideration of the road geometry, the type of road pavement, and the road surface condition according to the amount of rainfall provided by the GIS analysis, and the road surface friction coefficient By providing the vehicle speed limit based on the correct distance according to the braking distance and the climate information, it is possible to quickly manage the vehicle speed limit in response to the fluctuating weather change in real time, and intuitively guide the driver to the set vehicle speed limit .

Description

BACKGROUND OF THE INVENTION 1. Field of the Invention The present invention relates to a speed limit management system,

The present invention relates to a system and method for controlling a speed limit, and more particularly, to a system and method for controlling a speed limit, and more particularly, to a system and method for limiting speed management, To a system and a method for calculating a speed limit speed for each section of a road on the basis of a corrective distance based on the corrected distance.

Since there are many mountains and shorelines according to the geographical characteristics of our country, the road geometry is very diverse, so it is very important to manage the road safety speed to drive the safe driving of the vehicle.

The coefficient of friction of the road depends on the wetting condition of the road. Therefore, according to the regulations on the rescue facility standards of the Ministry of Land, Transport and Maritime Affairs, the safety speed of the road is managed by applying fixed road surface friction coefficient according to the wet road surface condition.

However, there is a problem that reliability of the road limiting speed management using the fixed road surface friction coefficient is poor in the case of the roads having various geometrical structures of roads. In order to solve these problems, there have been proposed various methods of calculating the friction coefficient based on the weather and road geometry conditions. However, the road surface friction coefficient is calculated according to the road geometry group according to the time- There was no device to calculate the road speed limit based on the braking distance derived by using the friction coefficient and the corrective distance according to the climate change.

Accordingly, in the present invention, the road friction coefficient of the road during traveling is calculated in consideration of the road geometry group and the type of road pavement, and based on the braking distance calculated using the calculated coefficient of friction of each road section, We propose a method to calculate vehicle speed limit.

SUMMARY OF THE INVENTION The present invention has been made to solve the above problems, and it is an object of the present invention to provide a road surface geometric structure, a road surface type according to road type and rainfall amount, The limitation speed of the vehicle is calculated based on the braking distance derived from the road surface friction coefficient and the traveling speed and the correction distance according to the climatic information of the road on the road, And to provide a limited speed management system and method capable of intuitively displaying the limit speed of the vehicle and informing the driver of the speed limit.

Technical Solution According to a first aspect of the present invention,

The braking distance is calculated on the basis of the road surface friction coefficient and the traveling speed derived from the friction coefficient set corresponding to the road surface state according to the road geometry group, road pavement type, and rainfall amount, A braking distance calculating unit A correcting distance calculating unit for calculating a correcting distance for each predetermined section of the traveling road in response to climate information that varies in real time; And a vehicle speed limit management unit that sets a vehicle speed limit based on the braking distance and the corrective distance and provides the vehicle speed limit to the driver

Preferably, the system may further include a vehicle speed limit display unit that processes the set vehicle speed limit according to a predetermined user interface environment and displays the processed vehicle speed limit on the screen.

Preferably, the braking distance calculating unit may include a road geometry deriving module that forms a road geometry group based on the derived gradient and curvature radius of the derived roads according to the sections; A road pavement type obtaining module that can include a first friction coefficient calculating module for calculating a first friction coefficient for each road geometry group and obtains road pavement information while driving; And a second friction coefficient calculating module for calculating a second friction coefficient according to the acquired road pavement type. The first friction coefficient calculating module may calculate a third friction coefficient according to the derived road surface condition information, And a road surface friction coefficient calculation unit for calculating a road surface friction coefficient by using at least one of the first friction coefficient and the third friction coefficient, module; And a storage module that stores the road surface friction coefficient of the road surface friction coefficient calculation unit in accordance with the road geometry, the type of road pavement, and the road surface state according to the amount of rainfall. The road module may include a road- And a braking distance deriving module for receiving the road surface friction coefficient and the running speed already stored in the storage module when receiving the road surface state according to the wrapping information and the rainfall amount, and calculating the braking distance of each road on the road.

Preferably, the corrected distance calculator may be configured to derive the corrected distance during operation based on weather information supplied from the outside.

Preferably, the vehicle speed limitation management unit includes a comparison module for comparing the braking distance D and the visible distance St; And a speed limit setting module for setting the vehicle speed limit according to a comparison result of the comparison module.

Preferably, the speed limit setting module sets the vehicle speed limit to be lower than a predetermined reference value when the braking distance is larger than the correctable distance, and to set the vehicle speed limit to be higher than the predetermined reference value when the braking distance is smaller than the correctable distance Do.

[0033] In the speed limit management method according to another embodiment of the present invention using the above-mentioned speed limit management system,

The braking distance calculating unit calculates the road surface friction coefficient as a product of the friction coefficient and the respective weights respectively set according to the road geometry group, the road pavement type, and the road surface condition, and calculates the calculated road surface friction coefficient as the road geometry group and road pavement type And a road surface state; Deriving a braking distance on the basis of the stored road friction coefficient and the traveling speed corresponding to the road surface geometry group, the type of road pavement, and the road surface condition according to the amount of rainfall; Deriving a correction distance based on the climate information provided in a predetermined section of the road on the road at the correction distance calculating section; Comparing the braking distance and the corrective distance in the vehicle speed limit management unit to set the vehicle speed limit to be lower than a predetermined reference value when the braking distance is larger than the corrective distance; And setting the vehicle limit speed higher than a predetermined reference value when the braking distance in the vehicle speed limit management unit is less than the corrective distance.

As described above, according to the present invention, the road surface friction coefficient is calculated in consideration of the road geometry, the road pavement type, and the road surface condition of the roads provided by the GIS analysis, By providing the vehicle speed limit based on the correct distance according to the braking distance and the climate information, it is possible to quickly manage the vehicle speed limit in response to the fluctuating weather change in real time, and intuitively guide the driver to the set vehicle speed limit I get the effect.

BRIEF DESCRIPTION OF THE DRAWINGS The accompanying drawings, which are incorporated in and constitute a part of the specification, illustrate preferred embodiments of the invention and, together with the description of the invention given below, serve to further understand the technical idea of the invention. And should not be construed as limiting.
BRIEF DESCRIPTION OF THE DRAWINGS FIG. 1 is a diagram showing a configuration of a speed limit management system according to an embodiment of the present invention; FIG.
2 is a diagram showing a detailed configuration of a braking distance calculating unit of a limited speed management system according to an embodiment of the present invention.
3 is an exemplary diagram showing a braking distance of a limited speed management system according to an embodiment of the present invention.
4 is an exemplary view showing a corrective distance of a limited speed management system according to an embodiment of the present invention.
5 is a detailed block diagram of the vehicle speed limit management unit of the speed limit management system according to the embodiment of the present invention.
6 is a diagram illustrating a screen of a vehicle speed limit display unit of a limited speed management system according to an embodiment of the present invention.
7 is a flowchart illustrating a speed control process according to another embodiment of the present invention.

In order to fully understand the present invention, operational advantages of the present invention, and objects achieved by the practice of the present invention, reference should be made to the accompanying drawings and the accompanying drawings which illustrate preferred embodiments of the present invention.

BEST MODE FOR CARRYING OUT THE INVENTION Hereinafter, the present invention will be described in detail with reference to the preferred embodiments of the present invention with reference to the accompanying drawings. Like reference symbols in the drawings denote like elements.

In the following description, specific details are set forth in order to provide a more thorough understanding of the present invention. In the following description of the present invention, detailed description of known functions and configurations incorporated herein will be omitted when it may make the subject matter of the present invention rather unclear.

BRIEF DESCRIPTION OF THE DRAWINGS FIG. 1 is a diagram showing a configuration of a speed limit management system according to an embodiment of the present invention; FIG. As shown in FIG. 1, the speed limit management system according to an embodiment of the present invention includes a braking distance derived from a road surface friction coefficient varying according to a road geometry and a road pavement type, and a variable visibility distance The system S includes a braking distance calculation unit 100, a time constant calculation unit 300, a vehicle limitation speed management unit 500, and a vehicle limitation speed display unit 700 do.

Here, the braking distance calculating unit 100 groups the road geometry of each predetermined section in the running and then calculates the braking distance based on the road surface friction type calculated from the friction coefficient set corresponding to each road geometry group, road pavement type, For example, the road surface friction coefficient of the corresponding road section is calculated based on the braking distance of each road geometric structure group, and the calculated road surface friction coefficient is calculated based on the road geometry structure It is stored as a table value in correspondence with the type of road and the type of road and the road surface according to rainfall

The correction distance calculating unit 300 may be provided to calculate a correction distance for each predetermined section of the road on the basis of climate information that varies in real time.

Accordingly, the vehicle speed limit management unit 500 sets a vehicle speed limit based on the braking distance and the corrective distance provided from the braking distance calculating unit 100 and the time constant calculating unit 300, and provides the vehicle speed limit to the driver. For example, if the braking distance is greater than the corrective distance, the vehicle speed limit is set lower than the predetermined reference value, and the set vehicle speed limit is transmitted to the vehicle driver.

However, when the braking distance is smaller than the correctable distance, the vehicle speed limit management unit 500 sets the vehicle limit speed higher than a predetermined reference value, and the set vehicle speed limit is transmitted to the driver.

On the other hand, the vehicle limit speed display unit 700 displays the vehicle limit speed set according to the braking distance and the correction distance according to a predetermined user interface.

2 is a block diagram showing the detailed structure of the braking distance calculating unit 100 shown in Fig. 1. As shown in Fig. 2, the braking distance calculating unit 100 calculates the gradient of the derived running road according to the section, A road surface geometry analysis module 110 for forming a road geometry group based on the radius of curvature, a first friction coefficient calculation module 120 for calculating a first friction coefficient for each road geometry group, And a second friction coefficient calculation module 140 for calculating a second friction coefficient corresponding to the acquired road pavement type.

In addition, the braking distance calculation unit 100 may further include a road surface state information acquisition module 150 for calculating the third friction coefficient corresponding to the road surface state according to the derived rainfall amount.

The braking distance calculating unit 100 calculates the braking distance using the at least one of the first coefficient of friction and the third coefficient of friction and calculates the braking distance based on the road geometry group and the type of road pavement and the road surface friction coefficient And a storage module 170 for storing the road surface friction coefficient of the calculation module 160 and the road surface friction coefficient calculation unit 160 in accordance with the road geometry group, the type of road pavement, and the road surface state according to the rainfall amount.

Accordingly, a model for road friction coefficient recorded corresponding to road surface geometry group, type of road pavement, and rainfall amount is generated.

The braking distance calculating unit 100 receives the road surface friction coefficient and the traveling speed already stored in the storage module 170 when receiving the road surface state according to the running road geometry group, the road packing information, and the rainfall amount supplied from the outside, And a braking distance deriving module 180 for calculating the braking distance for each section of the road.

Here, the road geometry analysis module 110 performs a function of deriving a geometric structure group of roads for each predetermined section by dividing a predetermined section on the basis of a GIS analysis supplied from the outside, and the gradient and curvature radius of the road are divided into a predetermined section An acceleration sensor or a G sensor installed on the star.

The positive gradient is an uphill road geometry with a predetermined slope and a negative gradient is a downhill road geometry with a predetermined slope and a negative or positive curve radius is a left and right road geometry.

For example, in the embodiment of the present invention, the road geometry group includes a road geometry 1 of a flat section, a road geometry 2 having a radius of curvature of a predetermined m, and a road geometry 3 A road geometry 4 having a positive slope of a predetermined percentage, and a road geometry 5 having a slope of a predetermined percentage of a negative value. However, the present invention is not limited thereto.

The first frictional coefficient computing module 120 computes a road geometry structure based on the braking distances of the road geometric groups of the roads grouped on the basis of the slope and the curve radius of the roads of the roads of the road geometry analysis module 110, The coefficient of friction for each group is derived.

For example, the first friction coefficient calculation module 120 performs a function of calculating the friction coefficient of each road geometry based on the weight and braking distance recorded corresponding to each road geometry group. That is, the braking distance of the vehicle is calculated a predetermined number of times for each road geometry group. At this time, the braking distance D is derived on the basis of the running distance d1, the braking stopping distance d2, the running speed V, and the reaction time t of 2.5 seconds during the reaction time, The sequence of steps to derive is the same as or similar to the commonly known techniques.

The weights of each road geometry are derived using various statistical analysis systems for braking distances for each road geometry group. In other words, the correlation between the braking distance and the braking distance of the road geometry according to the road geometry group is estimated based on the joint distribution of the braking distance of each road geometry group, and the correlation Based on the coefficients and regression coefficients, weights for each road geometry group are derived. A series of processes for deriving the correlations and regression coefficients using the statistical analysis system and generating the weights for each road geometry group are as follows: Generating a weight from correlation coefficients and regression coefficients derived using correlation analysis and regression analysis The process is the same or similar.

Accordingly, the first friction coefficient calculation module 120 calculates a first friction coefficient from a product of a weight of each road geometry group and a braking distance of each road geometry group, and the calculated first friction coefficient is calculated by a road surface friction coefficient calculation module Lt; / RTI >

On the other hand, the road pavement type acquisition module 130 has a water absorption rate of asphalt higher than that of concrete, so that the road pavement information on the road is set to 1 in case of concrete and set to a fixed value of 0 in case of asphalt.

The second friction coefficient computing module 140 computes a friction coefficient according to the road pavement type based on the braking distance for the concrete road or the asphalt road, and the computed second friction coefficient is provided to the road surface friction coefficient calculator 160 . Here, the series of processes for calculating the friction coefficient of the road surface through the braking distance to the concrete road or the asphalt road is a known technique, and thus a detailed description thereof will be omitted.

On the other hand, the road surface state information acquiring unit 150 derives the road surface state information based on the climate information including the temperature and the humidity provided at predetermined positions on the driving road and calculates the road surface state information based on the derived road surface state information 3 friction coefficient, and the third friction coefficient is transmitted to the road surface friction coefficient arithmetic unit 160. Here, since the road surface state information varies according to the climate information provided by the temperature and humidity sensor, it is possible to obtain road surface state information such as a dry state, a wet state, and an ice state based on the weather information.

The road surface frictional coefficient calculating module 160 calculates a first friction coefficient that is a braking distance for each road geometry group, a second friction coefficient that is a braking distance for each road pavement type, The road friction coefficient is calculated based on the weight for each third friction coefficient, the third friction coefficient for the road, and the third friction coefficient for the road surface condition according to the first friction coefficient and the second friction coefficient for the road geometry and the road pavement type, respectively .

Here, the respective weights are determined by using various statistical analysis systems for the road surface friction coefficient according to the road geometry, the type of road pavement, and the rainfall amount, and the correlation between the road geometry, the type of road pavement, The effects of road and road geometry, road pavement type, and road surface condition on road surface friction coefficient can be estimated based on the joint distribution of road surface friction coefficient for road surface geometry, type of road pavement and rainfall, Based on the correlation coefficient and the regression coefficient calculated by the map and the bond distribution, we derive the weight of the road surface friction coefficient for each road surface geometry, type of road pavement, and road surface condition according to rainfall.

The road surface friction coefficient calculation module 160 calculates the road surface friction coefficient from the road surface friction type and the road surface condition according to the road pavement type and rainfall amount from the first friction coefficient, the second friction coefficient, the third friction coefficient, To calculate the coefficient. That is, the road surface friction coefficient is determined by multiplying the first friction coefficient by the first weight, the second friction coefficient by the road geometry, the second weight by the road pavement type, the third weight of the road surface according to the rainfall amount, And the third friction coefficient.

The road surface friction coefficient for each road section is stored in the storage module 170 in correspondence with the road geometry, the type of road pavement, and the road surface state according to the amount of rainfall. That is, a model for the road surface friction coefficient is generated based on the road geometry, the type of road pavement, and the friction coefficient for the road surface state according to the rainfall amount.

The braking distance derivation module 180 receives the road surface friction coefficient of the modeled storage module 170 when the road surface state according to the road section, the road geometry, the type of road pavement, and the amount of rainfall is received And calculates the braking distance for each road section. Here, the braking distance D is calculated as the sum of the braking reaction distance d1, which is the distance that the vehicle travels during the reaction time, and the braking stop distance d2, from the braking to the time when the vehicle is stopped.

FIG. 3 is an exemplary view showing the braking distance derived from the running speed and the road surface friction coefficient in the braking distance deriving module 180 shown in FIG. 2. Referring to FIG. 3, the running distance is 120 km / Is 367, it can be understood that the braking distance D is derived from the predetermined relational expression.

On the other hand, the correction distance calculating unit 300 derives the correction distance during operation based on the climate information supplied from the outside. The corrective distance is derived from the relationship established based on the air moisture density and the vehicle speed.

FIG. 4 is an exemplary view showing the corrected distance derived based on the climate information in the correction distance calculating unit 300 of FIG. 1. Referring to FIG. 4, it is derived based on the airborne moisture density I and the vehicle speed V , It can be seen that the correcting distance St is 292 m when the traveling speed is 120 km / h.

5, the vehicle speed limiting unit 500 includes a braking distance calculating unit 100 and a vehicle speed limiting unit 500. The vehicle speed limiting unit 500 includes a braking distance calculating unit 500, A comparing module 510 for comparing the braking distance D and the correcting distance St of the distance calculating unit 300 and a limiting speed setting module 520 for setting the vehicle limiting speed according to the comparison result of the comparing module 510 ).

Based on the comparison result of the comparison module 510, the speed limit setting module 520 sets the vehicle speed limit to be lower than a predetermined reference value when the braking distance is larger than the correctable distance, and the set vehicle speed limit is transmitted to the vehicle driver.

However, when the braking distance is smaller than the correctable distance, the vehicle speed limit management unit 520 sets the vehicle speed limit to be higher than a predetermined reference value, and the set vehicle speed limit is transmitted to the driver.

On the other hand, the vehicle limit speed display unit 700 displays the vehicle limit speed set according to the braking distance and the correction distance according to a predetermined user interface. 6 is a diagram illustrating an example of a display state for informing a driver of a vehicle limit speed of the vehicle speed limit display unit 700 of FIG. 1, wherein a vehicle limit speed lower than a reference value is displayed numerically or using at least one of the arrows The vehicle speed limit is intuitively provided to the driver.

Thus, the road surface friction coefficient is calculated by taking into account the road geometry, the type of road pavement, and the road surface condition according to the amount of rainfall provided by the GIS analysis and the braking distance derived from the calculated road surface friction coefficient It is possible to quickly manage the vehicle speed limit in response to the fluctuation of the weather in real time and to intuitively guide the driver to the set vehicle speed limit by providing the vehicle speed limit based on the correction distance according to the climate information.

Based on the road geometry, the type of road pavement, and the road surface conditions of the roads provided by the GIS analysis, the road surface friction coefficient is calculated, and the braking distance based on the computed road surface friction coefficient and the corrective distance Will be described with reference to FIG. 7. FIG.

FIG. 7 is a flowchart illustrating the operation of the speed limit management system shown in FIG. 1. Referring to FIG. 7, a speed limit management process according to another embodiment of the present invention will be described.

First, the braking distance calculating unit 100 calculates the road surface friction coefficient as a product of the friction coefficient and the respective weights respectively set according to the road geometry, the road pavement type, and the road surface state according to the rainfall amount, The road geometry, the road pavement type, and the road surface state (S1).

The braking distance calculation unit 100 derives the braking distance based on the stored road friction coefficient and the traveling speed corresponding to the road surface geometry according to the road geometry, the type of road pavement, and the amount of rainfall provided in a predetermined section of the road on the road S3).

On the other hand, the correction distance calculating unit 300 derives the correction distance based on the climate information provided in a predetermined section of the road on which the vehicle is traveling (S5).

Then, when the braking distance is greater than the correctable distance, the vehicle limit speed management unit 500 sets the vehicle limit speed to be lower than a predetermined reference value, and the set vehicle speed limit is transmitted to the vehicle driver (S7, S9).

However, when the braking distance is smaller than the correctable distance, the vehicle speed limit management unit 520 sets the vehicle speed limit to be higher than a predetermined reference value, and the set vehicle speed limit is transmitted to the driver (S11).

Meanwhile, the vehicle speed limit set by the vehicle speed limit manager 500 is processed according to the user interface environment predetermined by the vehicle speed limit display unit 700 and displayed on the screen (S13).

According to the embodiment of the present invention, the road surface friction coefficient is calculated in consideration of the road geometry, the type of road pavement, and the road surface condition depending on the amount of rainfall provided by the GIS analysis, By providing the vehicle speed limit based on the corrected distance according to the derived braking distance and the climatic information, it is possible to quickly manage the vehicle speed limit in response to the change of the weather in real time and intuitively inform the driver of the set vehicle speed limit .

The steps of a method or algorithm described in connection with the embodiments disclosed herein may be embodied in the form of a program form which may be performed via a variety of computing means and recorded in a computer-readable medium. The computer-readable medium may include program instructions, data files, data structures, and the like, alone or in combination. The program instructions recorded on the medium may be those specially designed and constructed for the present invention or may be available to those skilled in the art of computer software. Examples of computer-readable media include magnetic media such as hard disks, floppy disks, and magnetic tape; optical media such as CD-ROMs and DVDs; magnetic media such as floppy disks; Magneto-optical media, and hardware devices specifically configured to store and execute program instructions such as ROM, RAM, flash memory, and the like. Examples of program instructions include machine language code such as those produced by a compiler, as well as high-level language code that can be executed by a computer using an interpreter or the like. The hardware devices described above may be configured to operate as one or more software modules to perform the operations of the present invention, and vice versa.

While the present invention has been particularly shown and described with reference to exemplary embodiments thereof, it is to be understood that the invention is not limited to the disclosed exemplary embodiments, but, on the contrary, It will be understood by those skilled in the art that various changes in form and details may be made therein without departing from the spirit and scope of the invention as defined by the appended claims.

Based on the road geometry, the type of road pavement, and the road surface condition according to the rainfall amount provided by the GIS analysis, the road surface friction coefficient is calculated and the braking distance and climatic information derived from the computed road surface friction coefficient A speed limit management system that can quickly manage the vehicle speed limit in response to a change in the weather in real time and intuitively guide the driver to the set vehicle speed limit, It is possible to make a great progress in terms of accuracy and reliability of the operation of the method and further in terms of performance efficiency and it is not only possible that the applicable climate limit vehicle speed limit device is commercially available or is operable, An invention that is industrially applicable .

Claims (7)

The braking distance is calculated on the basis of the road surface friction coefficient and the traveling speed derived from the friction coefficient set corresponding to the road surface state according to the road geometry group, road pavement type, and rainfall amount, A braking distance calculating unit
A correcting distance calculating unit for calculating a correcting distance for each predetermined section of the traveling road in response to climate information that varies in real time; And
A braking distance and a braking distance, and provides the braking distance and the braking distance to the driver,
Wherein the braking distance calculating unit calculates,
The road surface friction coefficient is calculated based on the road geometry group and the type of road pavement and the amount of rainfall, and the derived road surface friction coefficient is stored corresponding to the road geometry group, type of road pavement, A road friction coefficient and a traveling speed already stored in the storage module upon reception of the road surface state according to the running road geometry group, the road packing information, and the rainfall amount supplied from the outside, and calculates the braking distance for each road section on the road ,
The road surface friction coefficient
Based on the correlation of road surface condition and road surface friction coefficient according to road geometry group, type of road pavement, and rainfall, road geometry group, type of road pavement, The weight of each of the structural groups, the type of road pavement, and the road surface state according to the amount of rainfall is derived, and is derived as the sum of the products of the friction factors and the weights of the road surface state according to the road geometry group, road pavement type, Wherein the limit speed management system comprises: The system of claim 1,
Further comprising a vehicle speed limit display unit for processing the set vehicle speed limit according to a predetermined user interface environment and displaying the vehicle speed limit on a screen by using predetermined determination reference values and arrows. 2. The braking device according to claim 1,
A road geometry analysis module that forms a road geometry group based on the derived gradient and curvature radius of the derived roads; And a first friction coefficient calculating module for calculating a first friction coefficient for each road geometry group,
A road pavement type acquisition module for acquiring road pavement information while driving; And a second friction coefficient calculating module for calculating a second friction coefficient according to the acquired road pavement type,
Further comprising a road surface condition information acquisition module for calculating a third friction coefficient according to a road surface condition according to a rainfall derived from external weather information,
A road surface frictional coefficient computing module for deriving a road surface frictional coefficient considering the road surface condition according to the road geometry group, road pavement type, and rainfall amount using at least one of the first to third frictional coefficients; And a storage module for storing the road surface friction coefficient of the road surface friction coefficient calculating module in accordance with the road geometry group, the road pavement type, and the road surface condition according to the rainfall amount,
A braking distance calculating unit which receives the road surface friction coefficient and the traveling speed already stored in the storage module when receiving the road surface condition according to the traveling road geometry group, the road packing information, and the rainfall amount supplied from the outside, And a distance derivation module. The apparatus according to claim 1, wherein the correction distance calculating unit
Wherein the control unit is configured to derive a corrective distance during operation based on weather information supplied from outside. 5. The vehicle control system according to claim 4,
A comparison module for comparing the braking distance D and the correcting distance St; And
And a limit speed setting module for setting the vehicle limit speed according to the comparison result of the comparison module. 6. The speed limiter according to claim 5,
When the braking distance is larger than the corrective distance, the vehicle limit speed is set to be lower than a predetermined reference value,
And the vehicle speed limit is set to be higher than a predetermined reference value when the braking distance is smaller than the correctable distance. The braking distance calculation unit calculates the road surface friction coefficient as a product of the friction coefficient and the respective weights respectively set according to the road geometry group, the type of road pavement and the road surface according to the rainfall amount, Storing in accordance with the type of road pavement and the road surface state according to the amount of rainfall;
Deriving a braking distance on the basis of the stored road friction coefficient and the traveling speed corresponding to the road surface geometry group, the type of road pavement, and the road surface condition according to the amount of rainfall;
Deriving a correction distance based on the climate information provided in a predetermined section of the road on the road at the correction distance calculating section;
Comparing the braking distance and the corrective distance in the vehicle speed limit management unit to set the vehicle speed limit to be lower than a predetermined reference value when the braking distance is larger than the corrective distance; And
And setting the vehicle limit speed higher than a predetermined reference value when the braking distance in the vehicle speed limit management unit is smaller than the corrective distance,
The road surface friction coefficient
Based on the correlation of road surface condition and road surface friction coefficient according to road geometry group, type of road pavement, and rainfall, road geometry group, type of road pavement, The weight of each of the structural groups, the type of road pavement, and the road surface state according to the amount of rainfall is derived, and is derived as the sum of the products of the friction factors and the weights of the road surface state according to the road geometry group, road pavement type, Wherein the limiting rate management method comprises the steps of:

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