CN113836736A - Method and device for evaluating safety of road section, electronic equipment and readable storage medium - Google Patents
Method and device for evaluating safety of road section, electronic equipment and readable storage medium Download PDFInfo
- Publication number
- CN113836736A CN113836736A CN202111157444.2A CN202111157444A CN113836736A CN 113836736 A CN113836736 A CN 113836736A CN 202111157444 A CN202111157444 A CN 202111157444A CN 113836736 A CN113836736 A CN 113836736A
- Authority
- CN
- China
- Prior art keywords
- road section
- evaluation result
- road
- linear
- evaluated
- 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
Links
- 238000000034 method Methods 0.000 title claims abstract description 52
- 238000011156 evaluation Methods 0.000 claims abstract description 243
- 238000013461 design Methods 0.000 claims description 53
- 230000008859 change Effects 0.000 claims description 7
- 238000004590 computer program Methods 0.000 claims description 5
- 230000006870 function Effects 0.000 claims description 3
- 238000010586 diagram Methods 0.000 description 12
- 230000008569 process Effects 0.000 description 10
- 238000004891 communication Methods 0.000 description 8
- 206010039203 Road traffic accident Diseases 0.000 description 3
- 238000013210 evaluation model Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 238000013473 artificial intelligence Methods 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 230000002093 peripheral effect Effects 0.000 description 1
- 230000011218 segmentation Effects 0.000 description 1
- 230000011664 signaling Effects 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/20—Design optimisation, verification or simulation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/10—Complex mathematical operations
- G06F17/18—Complex mathematical operations for evaluating statistical data, e.g. average values, frequency distributions, probability functions, regression analysis
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F30/00—Computer-aided design [CAD]
- G06F30/10—Geometric CAD
- G06F30/13—Architectural design, e.g. computer-aided architectural design [CAAD] related to design of buildings, bridges, landscapes, production plants or roads
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/04—Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem"
Landscapes
- Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Theoretical Computer Science (AREA)
- Geometry (AREA)
- Mathematical Analysis (AREA)
- Mathematical Optimization (AREA)
- Data Mining & Analysis (AREA)
- Business, Economics & Management (AREA)
- Computer Hardware Design (AREA)
- Pure & Applied Mathematics (AREA)
- Computational Mathematics (AREA)
- General Engineering & Computer Science (AREA)
- Operations Research (AREA)
- Human Resources & Organizations (AREA)
- Economics (AREA)
- Strategic Management (AREA)
- Mathematical Physics (AREA)
- Evolutionary Computation (AREA)
- Civil Engineering (AREA)
- Evolutionary Biology (AREA)
- Probability & Statistics with Applications (AREA)
- Algebra (AREA)
- Bioinformatics & Computational Biology (AREA)
- Databases & Information Systems (AREA)
- Software Systems (AREA)
- Bioinformatics & Cheminformatics (AREA)
- Development Economics (AREA)
- Life Sciences & Earth Sciences (AREA)
- Game Theory and Decision Science (AREA)
- Structural Engineering (AREA)
- Architecture (AREA)
- Entrepreneurship & Innovation (AREA)
- Marketing (AREA)
- Quality & Reliability (AREA)
- Tourism & Hospitality (AREA)
- General Business, Economics & Management (AREA)
- Traffic Control Systems (AREA)
Abstract
The application relates to the technical field of road safety evaluation, and discloses a method, a device, electronic equipment and a readable storage medium for road section safety evaluation, wherein the method comprises the following steps: the method comprises the steps of dividing a road section to be evaluated into a plurality of continuous road sections; determining the predicted vehicle speed of each road section according to the linear parameters of each road section; determining a linear coordination evaluation result of each road section according to the speed difference between the predicted speed and the designed speed of the vehicle of each road section; and determining the safety evaluation result of the road section to be evaluated according to the linear harmony evaluation result of each road section. Thus, the accuracy of evaluation can be improved.
Description
Technical Field
The application relates to the technical field of road safety evaluation, in particular to a method and device for road section safety evaluation, an electronic device and a readable storage medium.
Background
When designers perform route scheme layout and longitudinal slope design on mountain expressway over-the-hill road sections, in order to overcome height difference and control engineering scale, long steep slopes and short gentle slopes are often designed alternately to form so-called 'step-type' continuous long downhill road sections. When a vehicle runs on a continuous long downhill road section, the braking capability of the vehicle is weakened or completely lost due to long-time service of service braking, so that serious accidents often occur, and therefore, the safety evaluation of the continuous long downhill road section is particularly important.
At present, when related technicians perform safety evaluation on a continuous long downhill road section, the accuracy of evaluation on the continuous long downhill road section is low due to the fact that linear indexes of the road section related to an evaluation model are not comprehensive enough.
Therefore, when the safety evaluation is performed on the continuous long downhill section, how to improve the accuracy of the evaluation is a problem to be solved.
Disclosure of Invention
An object of the embodiments of the present application is to provide a method, an apparatus, an electronic device and a readable storage medium for road segment safety evaluation, so as to improve the accuracy of evaluation when performing safety evaluation on a continuous long downhill road segment.
In a first aspect, an embodiment of the present application provides a method for evaluating safety of a road segment, where the method includes:
and performing section division on the road section to be evaluated to obtain a plurality of continuous road sections, wherein the road section to be evaluated is a continuous long downhill section.
And determining the vehicle predicted speed of each road section according to the linear parameters of each road section, wherein the linear parameters of each road section comprise the average longitudinal slope from the characteristic point to the top of the road section to be evaluated, the length of the slope from the characteristic point to the top of the road section to be evaluated and the curvature of the characteristic point.
And determining a linear coordination evaluation result of each road section according to the speed difference between the predicted speed and the designed speed of the vehicle of each road section, wherein the linear coordination evaluation result comprises one of good linear coordination, medium linear coordination or poor linear coordination.
And determining the safety evaluation result of the road section to be evaluated according to the linear harmony evaluation result of each road section, wherein the safety evaluation result comprises one of good, medium or poor.
In the implementation process, the vehicle predicted speed in each road section is determined through the average longitudinal slope from the characteristic point in each road section to the top of the road section to be evaluated, the length of the slope from the characteristic point to the top of the road section to be evaluated and the curvature of the characteristic point, so that safety evaluation is performed on a plurality of road sections according to the vehicle predicted speed, and the accuracy of road safety evaluation is improved.
With reference to the first aspect, in one embodiment, determining the predicted vehicle speed for each road section according to the alignment parameter for each road section includes:
the following steps are performed for each road section, respectively:
and inputting the linear parameters of one characteristic point in one road section into a vehicle speed prediction model to obtain the vehicle predicted speed of one characteristic point.
And determining the average value of the vehicle predicted speeds of the characteristic points in one road section as the vehicle predicted speed of the one road section, wherein the one road section comprises at least one characteristic point of a straight point, a gentle straight point, a slope changing point, a starting point and an end point.
In the implementation process, the vehicle speed of each road section is predicted through the linear parameters of the road sections and the vehicle speed prediction model, so that the vehicle predicted speed of each road section is obtained.
With reference to the first aspect, in one embodiment, the vehicle speed prediction model is:
VSV＝EXP(4.4897+0.0911len+0.1830ln(grade)+0.0477(ln(grade))2-
0.0300grade*len-0.0052len*radi)
wherein, VSVThe predicted speed of a vehicle at a characteristic point in a road section is represented, grade represents the average longitudinal slope from the characteristic point to the top of the road section to be evaluated, len represents the length of the slope from the characteristic point to the top of the road section to be evaluated, and radi represents the curvature of the characteristic point.
With reference to the first aspect, in an embodiment, determining an evaluation result of a to-be-evaluated road segment according to a linear harmony evaluation result of each road segment includes:
and determining the heart rate increase rate of the driver of each road section according to the linear parameters of each road section.
And determining the range of the heart rate increase rate of the driver according to the heart rate increase rate of the driver of each road section.
And determining the planar and longitudinal design evaluation result corresponding to the heart rate increase rate range of the driver as the planar and longitudinal design evaluation result of each road section, wherein the planar and longitudinal design evaluation result comprises one of good, medium or poor.
And determining the safety evaluation result of the road section to be evaluated according to the linear harmony evaluation result of each road section and the planar and longitudinal design evaluation result of each road section.
In the implementation process, the safety evaluation result of the road section to be evaluated is determined according to the linear harmony evaluation result of each road section and the planar and longitudinal design evaluation result of each road section, and the safety of the road section to be evaluated can be evaluated according to different evaluation indexes, so that the accuracy of the road safety evaluation is improved.
With reference to the first aspect, in one embodiment, determining the driver heart rate increase rate of each road section according to the linearity parameter of each road section includes:
the following steps are performed for each road section, respectively:
and inputting the linear parameters of one characteristic point in one road section into a driver heart rate increase rate prediction model to obtain the driver heart rate increase rate of one characteristic point.
And determining the average value of the heart rate increase rates of the drivers of the characteristic points in one road section as the heart rate increase rate of the driver of one road section.
In the implementation process, the heart rate increase rate of the driver in each road section is predicted through the linear parameters of the road sections and the heart rate increase rate prediction model of the driver, so that the heart rate increase rate of the driver in each road section is obtained.
With reference to the first aspect, in one embodiment, the driver heart rate increase rate prediction model is:
where Δ HR represents the rate of increase in the heart rate of the driver at one characteristic point.
With reference to the first aspect, in one embodiment, the method further includes:
determining a speed difference range according to the speed difference of the vehicle predicted speeds of two continuous road sections;
and evaluating the continuity corresponding to the speed difference range, and determining the continuity evaluation result as the continuity evaluation result of two continuous road sections, wherein the continuity evaluation result comprises good continuity, medium continuity or poor continuity.
And determining the continuity of the road section to be evaluated according to the determined continuity evaluation result of the continuous road sections.
In the implementation process, the continuity of the two continuous road sections is determined according to the speed difference of the vehicle predicted speeds of the two continuous road sections, so that the continuity evaluation of the continuous long downhill section is realized, and the safety of the continuous long downhill section is further conveniently evaluated according to the continuity of the continuous long downhill section.
In a second aspect, an embodiment of the present application provides an apparatus for road segment safety evaluation, where the apparatus includes:
and the section dividing unit is used for performing section division on the road section to be evaluated to obtain a plurality of continuous road sections, wherein the road section to be evaluated is a continuous long downhill road section.
And the speed determining unit is used for determining the vehicle predicted speed of each road section according to the linear parameters of each road section, wherein the linear parameters of each road section comprise an average longitudinal slope from the characteristic point to the top of the road section to be evaluated in each road section, a slope length from the characteristic point to the top of the road section to be evaluated and the curvature of the characteristic point.
And the evaluation result determining unit is used for determining the linear coordination evaluation result of each road section according to the speed difference between the vehicle predicted speed and the designed speed of each road section, wherein the linear coordination evaluation result comprises one of good linear coordination, medium linear coordination or poor linear coordination.
And the evaluation result determining unit is further used for determining the safety evaluation result of the road section to be evaluated according to the linear consistency evaluation result of each road section, wherein the safety evaluation result comprises one of good, medium or poor.
With reference to the second aspect, in an embodiment, the speed determination unit is specifically configured to:
the following steps are performed for each road section, respectively:
and inputting the linear parameters of one characteristic point in one road section into a vehicle speed prediction model to obtain the vehicle predicted speed of one characteristic point.
And determining the average value of the vehicle predicted speeds of the characteristic points in one road section as the vehicle predicted speed of the one road section, wherein the one road section comprises at least one characteristic point of a straight point, a gentle straight point, a slope changing point, a starting point and an end point.
With reference to the second aspect, in one embodiment, the vehicle speed prediction model is:
VSV＝EXP(4.4897+0.0911len+0.1830ln(grade)+0.0477(ln(grade))2-
0.0300grade*len-0.0052len*radi)
wherein, VSVThe predicted speed of a vehicle at a characteristic point in a road section is represented, grade represents the average longitudinal slope from the characteristic point to the top of the road section to be evaluated, len represents the length of the slope from the characteristic point to the top of the road section to be evaluated, and radi represents the curvature of the characteristic point.
With reference to the second aspect, in one embodiment, the evaluation result determination unit is specifically configured to:
and determining the heart rate increase rate of the driver of each road section according to the linear parameters of each road section.
And determining the range of the heart rate increase rate of the driver according to the heart rate increase rate of the driver of each road section.
And determining the planar and longitudinal design evaluation result corresponding to the heart rate increase rate range of the driver as the planar and longitudinal design evaluation result of each road section, wherein the planar and longitudinal design evaluation result comprises one of good, medium or poor.
And determining the safety evaluation result of the road section to be evaluated according to the linear harmony evaluation result of each road section and the planar and longitudinal design evaluation result of each road section.
With reference to the second aspect, in one embodiment, the evaluation result determination unit is specifically configured to:
the following steps are performed for each road section, respectively:
and inputting the linear parameters of one characteristic point in one road section into a driver heart rate increase rate prediction model to obtain the driver heart rate increase rate of one characteristic point.
And determining the average value of the heart rate increase rates of the drivers of the characteristic points in one road section as the heart rate increase rate of the driver of one road section.
With reference to the second aspect, in one embodiment, the driver heart rate increase rate prediction model is:
where Δ HR represents the rate of increase in the heart rate of the driver at one characteristic point.
With reference to the second aspect, in one embodiment, the evaluation result determination unit is further configured to:
determining a speed difference range according to the speed difference of the vehicle predicted speeds of two continuous road sections;
and evaluating the continuity corresponding to the speed difference range, and determining the continuity evaluation result as the continuity evaluation result of two continuous road sections, wherein the continuity evaluation result comprises good continuity, medium continuity or poor continuity.
And determining the continuity of the road section to be evaluated according to the determined continuity evaluation result of the continuous road sections.
In a third aspect, an embodiment of the present application provides an electronic device, including:
the system comprises a processor, a memory and a bus, wherein the processor is connected with the memory through the bus, and the memory stores computer readable instructions for implementing the steps of the method provided by any one of the embodiments of the first aspect.
In a fourth aspect, the present application provides a computer-readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements the steps in the method as provided in any one of the implementation manners of the first aspect.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings that are required to be used in the embodiments of the present application will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present application and therefore should not be considered as limiting the scope, and that those skilled in the art can also obtain other related drawings based on the drawings without inventive efforts.
Fig. 1 is a flowchart of a method for evaluating safety of a road segment according to an embodiment of the present disclosure;
fig. 2 is a schematic diagram of road section alignment parameters provided in the embodiment of the present application;
FIG. 3 is a schematic diagram illustrating a road section line shape coordination evaluation result according to an embodiment of the present disclosure;
fig. 4 is a schematic diagram illustrating a design evaluation result of a road section plane and a longitudinal plane according to an embodiment of the present application;
fig. 5 is a schematic diagram illustrating a road section continuity evaluation result according to an embodiment of the present application;
fig. 6 is a block diagram of a device for road segment safety evaluation according to an embodiment of the present application;
fig. 7 is a schematic structural diagram of an electronic device according to an embodiment of the present application.
Detailed Description
The technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are only a part of the embodiments of the present application, and not all of the embodiments. The components of the embodiments of the present application, generally described and illustrated in the figures herein, can be arranged and designed in a wide variety of different configurations. Thus, the following detailed description of the embodiments of the present application, presented in the accompanying drawings, is not intended to limit the scope of the claimed application, but is merely representative of selected embodiments of the application. All other embodiments, which can be derived by a person skilled in the art from the embodiments of the present application without making any creative effort, shall fall within the protection scope of the present application.
It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus, once an item is defined in one figure, it need not be further defined and explained in subsequent figures. Meanwhile, in the description of the present application, the terms "first", "second", and the like are used only for distinguishing the description, and are not to be construed as indicating or implying relative importance.
First, some terms referred to in the embodiments of the present application will be described to facilitate understanding by those skilled in the art.
The terminal equipment: may be a mobile terminal, a fixed terminal, or a portable terminal such as a mobile handset, station, unit, device, multimedia computer, multimedia tablet, internet node, communicator, desktop computer, laptop computer, notebook computer, netbook computer, tablet computer, personal communication system device, personal navigation device, personal digital assistant, audio/video player, digital camera/camcorder, positioning device, television receiver, radio broadcast receiver, electronic book device, gaming device, or any combination thereof, including the accessories and peripherals of these devices, or any combination thereof. It is also contemplated that the terminal device can support any type of interface to the user (e.g., wearable device), and the like.
A server: the cloud server can be an independent physical server, a server cluster or a distributed system formed by a plurality of physical servers, and can also be a cloud server for providing basic cloud computing services such as cloud service, a cloud database, cloud computing, cloud functions, cloud storage, network service, cloud communication, middleware service, domain name service, security service, big data and artificial intelligence platform and the like.
When designers perform route scheme layout and longitudinal slope design on mountain expressway over-the-hill road sections, in order to overcome height difference and control engineering scale, long steep slopes and short gentle slopes are often designed alternately to form so-called 'step-type' continuous long downhill road sections. When a vehicle runs on a continuous long downhill road section, the braking capability of the vehicle is weakened or completely lost due to long-time service of service braking, so that serious accidents often occur, and therefore, the safety evaluation of the continuous long downhill road section is particularly important.
At present, when related technicians perform safety evaluation on a continuous long downhill road section, the accuracy of evaluation on the continuous long downhill road section is low due to the fact that linear indexes of the road section related to an evaluation model are not comprehensive enough.
Therefore, the application provides a method, a device, an electronic device and a readable storage medium for road section safety evaluation, which are used for improving the accuracy of evaluation when the safety evaluation is carried out on a continuous long downhill road section.
In this embodiment of the present application, an execution subject of the method may be an electronic device, and optionally, the electronic device may be a server or a terminal device, but the present application is not limited thereto.
Referring to fig. 1, fig. 1 is a flowchart of a method for evaluating road segment safety provided in an embodiment of the present application, and a specific implementation flow of the method shown in fig. 1 is as follows:
step 101: and carrying out section division on the road section to be evaluated to obtain a plurality of continuous road sections.
Specifically, according to the linear parameters of the road section to be evaluated, a dynamic segmentation technology is adopted to divide the road section to be evaluated into a plurality of continuous road sections, wherein the road section to be evaluated is a continuous long downhill section, and the road section has a determined unique flat curve radius, a longitudinal slope and a slope length.
The continuous long downhill section may be a section in which the average longitudinal gradient is 2.0% or more and the brake temperature exceeds 200 ℃ when the truck travels on the section.
As an embodiment, the total length of the continuous long downhill section to be evaluated is 13.291km, the average longitudinal slope is 2.404%, the continuous long downhill section is divided into 16 continuous road sections, and the linear parameters of each road section include the average longitudinal slope from the feature point to the top of the slope of the section to be evaluated in each road section, the length of the slope from the feature point to the top of the section to be evaluated, and the curvature of the feature point.
As shown in fig. 2, fig. 2 is a road section linear parameter diagram provided by the embodiment of the present application, where a radius of a flat curve is an inverse of a curvature of a feature point.
It should be noted that, in the present application, only 16 road sections are taken as an example to be described as a plurality of road sections, in practical applications, the number of divided road sections may be determined according to the length of a continuous long downhill road section and other linear parameters, which are not limited herein.
Step 102: and determining the predicted vehicle speed of each road section according to the linear parameters of each road section.
As an example, all vehicle types on a road section are calculated by a vehicle speed prediction model of expression (1) for a vehicle predicted speed for each road section:
VSVthe method comprises the steps of representing the predicted speed of a vehicle at a characteristic point, representing the average longitudinal slope from the characteristic point to the top of a road section to be evaluated, representing the length of a slope from the characteristic point to the top of the road section to be evaluated, and representing the curvature of the characteristic point by radi.
When the road section is a straight line, the curvature of the feature point is zero.
As another example, the vehicles traveling on the road are divided into small-sized vehicles and large-sized vehicles, and the predicted speed models of the vehicles are different for each vehicle type.
Expression (2) is used as a speed prediction model of a small-sized vehicle, and expression (3) is used as a speed prediction model of a large-sized vehicle.
Specifically, the speed prediction model of the small vehicle is as follows:
V′sv＝EXP(4.4897+0.0911len+0.1830Ln(geade)+0.0477(ln(grade))2-0.0300grade*len-0.0052len*radi (2)
V′svthe predicted speed of the small vehicle at a characteristic point is indicated.
The speed prediction model of the large-sized vehicle is as follows:
wherein, VLVThe predicted speed of the large vehicle at a characteristic point is indicated.
It should be noted that the predicted speed of the vehicle at the characteristic point may also be an 85% running speed of the vehicle at the characteristic point, which is not limited herein.
Specifically, in performing step 102, the following steps may be performed for each road section:
s1021: and inputting the linear parameters of one characteristic point in one road section into a vehicle speed prediction model to obtain the vehicle predicted speed of one characteristic point.
Specifically, according to the vehicle type, a corresponding vehicle speed prediction model is determined.
As an example, if the vehicle type is a small vehicle, the vehicle speed prediction model determined from the small vehicle is expression (2).
Further, the linear parameter of a feature point in a road section is input into the expression (2), and the vehicle predicted speed of the small vehicle at the feature point is obtained.
As an example, if the vehicle type is a large vehicle, the vehicle speed prediction model determined from the large vehicle is expression (3).
Further, the linear parameter of a feature point in a road section is input into expression (3), and the predicted vehicle speed of the large-sized vehicle at the feature point is obtained.
S1022: and determining the average value of the vehicle predicted speeds of the characteristic points in one road section as the vehicle predicted speed of one road section.
Wherein one road section includes at least one feature point of a straight point, a gentle straight point, a gradient change point, a start point, and an end point.
As an embodiment, vehicle predicted speeds of a straight point, a gentle point, a slope changing point, a starting point and an end point of a small-sized vehicle in a road section are respectively calculated according to a vehicle speed prediction model (2), and a vehicle predicted speed of the straight point, a vehicle predicted speed of the gentle point, a vehicle predicted speed of the slope changing point, a vehicle predicted speed of the starting point and a vehicle predicted speed of the end point are obtained.
Further, an average value of the predicted vehicle speeds at the respective feature points of the small-sized vehicle is determined, and the average value is determined as the predicted vehicle speed of the small-sized vehicle in one road section.
As an example, the average value of the vehicle predicted speed of the straight point, the vehicle predicted speed of the change point, the vehicle predicted speed of the start point, and the vehicle predicted speed of the end point is calculated as the vehicle predicted speed of the small vehicle in the road section.
As an embodiment, vehicle predicted speeds of a straight point, a gentle point, a slope changing point, a starting point and an end point of a large-sized vehicle in a road section are respectively calculated according to a vehicle speed prediction model (3), and a vehicle predicted speed of the straight point, a vehicle predicted speed of the gentle point, a vehicle predicted speed of the slope changing point, a vehicle predicted speed of the starting point and a vehicle predicted speed of the end point are obtained.
Further, an average value of the predicted vehicle speeds at the respective feature points of the large-sized vehicle is determined, and the average value is determined as the predicted vehicle speed of the large-sized vehicle in one road section.
As an example, the average value of the predicted vehicle speed at the straight point, the predicted vehicle speed at the change point, the predicted vehicle speed at the start point, and the predicted vehicle speed at the end point is calculated and used as the predicted vehicle speed of the large-sized vehicle in the road section.
And the predicted vehicle speeds of the small vehicle and the small vehicle in the 16 road sections of the road section to be evaluated are determined through the above steps S1021 to S1022, respectively.
It should be noted that, in the present application, the feature points include a straight point, a gentle point, a slope change point, a starting point, and an end point, and in practical applications, the feature points may be one or any combination of a straight point, a gentle point, a slope change point, a starting point, and an end point, and are not limited herein.
Step 103: and determining the linear harmony evaluation result of each road section according to the speed difference between the predicted speed and the designed speed of the vehicle of each road section.
The evaluation result of the linear harmony comprises one of good linear harmony, medium linear harmony or poor linear harmony.
Specifically, a speed difference range in which the speed difference of each road section is located is determined based on the speed difference of the predicted speed of the vehicle and the design speed of each road section.
And determining the linear coordination evaluation result corresponding to the speed difference range of each road section as the linear coordination evaluation result of the corresponding road section.
As an example, the speed difference range of the road section and the linear harmony evaluation result have the following correspondence relationship:
when the speed difference is less than 10km/h, the corresponding linear harmony evaluation result is that the linear harmony is good.
When the speed difference is more than or equal to 10km/h and less than or equal to 20km/h, the corresponding linear harmony evaluation result is in the linear harmony.
And when the speed difference is greater than 20km/h, the corresponding linear harmony evaluation result is the linear harmony difference.
As an example, the design speed is 80km/h, and it is determined through the above steps S1021 to S1022 that the predicted vehicle speed of the 3 rd road section is 110.3km/h, and the speed difference of the 3 rd road section is 30.3km/h, and the evaluation result of the linear harmony corresponding to the speed difference is the linear harmony difference, that is, the evaluation result of the linear harmony of the 3 rd road section is the linear harmony difference.
Further, the speed difference of each road section is calculated through the method, and the linear consistency evaluation result of each road section is determined according to the speed difference of each road section.
Referring to fig. 3, fig. 3 is a schematic diagram illustrating a result of evaluating line shape coordination of road sections according to an embodiment of the present application, and fig. 3 is a result of evaluating line shape coordination of a small car in each road section.
Step 104: and determining the safety evaluation result of the road section to be evaluated according to the linear harmony evaluation result of each road section.
Wherein, the safety evaluation result comprises one of good, medium or poor.
Specifically, when step 104 is executed, any one of the following manners may be adopted:
the first method is as follows: and determining the linear coordination evaluation result of the small vehicle in each road section as the safety evaluation result of the road section to be evaluated in each road section.
Specifically, when the linear coordination evaluation result of the small vehicle in one road section is poor, the safety evaluation result of the corresponding road section is poor.
When the linear coordination evaluation result of the small vehicle in one road section is good, the safety evaluation result of the corresponding road section is good.
When the linear coordination evaluation result of the small vehicle in one road section is in linear coordination, the safety evaluation result of the corresponding road section is in middle.
In one embodiment, the result with the largest proportion of safety evaluation results in the three safety evaluation results of the road sections is used as the safety evaluation result of the road section to be evaluated. As can be seen from fig. 3, the evaluation result of the linear harmony of the road section to be evaluated is poor in linear harmony based on the small vehicle, that is, the safety evaluation result of the road section to be evaluated is poor.
It should be noted that, the present application is described by taking only the result with the largest proportion of the safety evaluation results as the safety evaluation result of the road segment to be evaluated, and in practical applications, the result with the smallest proportion of the safety evaluation results may also be taken as the safety evaluation result of the road segment to be evaluated, which is not limited herein.
The second method comprises the following steps: and determining the linear coordination evaluation result of the large vehicle in each road section as the safety evaluation result of the road section to be evaluated in each road section.
Specifically, when the linear coordination evaluation result of the large vehicle in one road section is poor, the safety evaluation result of the corresponding road section is poor.
When the linear coordination evaluation result of the large vehicle in one road section is that the linear coordination is good, the safety evaluation result of the corresponding road section is good.
And when the linear coordination evaluation result of the large vehicle in one road section is in linear coordination, the safety evaluation result of the corresponding road section is in middle.
In one embodiment, the result with the largest proportion of safety evaluation results in the three safety evaluation results of the road sections is used as the safety evaluation result of the road section to be evaluated.
It should be noted that, the present application is described by taking only the result with the largest proportion of the safety evaluation results as the safety evaluation result of the road segment to be evaluated, and in practical applications, the result with the smallest proportion of the safety evaluation results may also be taken as the safety evaluation result of the road segment to be evaluated, which is not limited herein.
The third method comprises the following steps: and determining the flat longitudinal plane design evaluation result of each road section as the safety evaluation result of the road section to be evaluated.
Specifically, in the third implementation manner, the following steps may be adopted:
s1041: and determining the heart rate increase rate of the driver of each road section according to the linear parameters of each road section.
Specifically, in executing S1041, the following steps may be executed for each road section:
s1041a, inputting the linear parameter of a characteristic point in a road section into a driver heart rate increase rate prediction model to obtain the driver heart rate increase rate of the characteristic point.
Specifically, the prediction model of the heart rate increase rate of the driver is as follows:
where Δ HR represents the rate of increase in the heart rate of the driver at one feature point.
As an example, the slope length from the straight point to the top of the road section to be evaluated in one road section and the curvature of the straight point are input into expression (4), and the driver heart rate increase rate of the straight point in one road section is obtained.
And respectively calculating the heart rate increase rate of the driver at the slow straight point, the heart rate increase rate of the driver at the variable slope point, the heart rate increase rate of the driver at the starting point and the heart rate increase rate of the driver at the ending point in one road section by the method.
And S1041b, determining the average value of the heart rate increasing rates of the drivers of the characteristic points in one road section as the heart rate increasing rate of the driver of one road section.
Specifically, the average value of the increase rates of the heart rates of the drivers at the respective feature points is calculated, and the average value is determined as the increase rate of the heart rate of the driver at one road section.
As an embodiment, the average value of the driver heart rate increase rate of the straight point, the driver heart rate increase rate of the gentle straight point, the driver heart rate increase rate of the slope change point, the start-point driver heart rate increase rate, and the end-point driver heart rate increase rate is determined as the driver heart rate increase rate of the road section.
S1042: and determining the range of the heart rate increase rate of the driver according to the heart rate increase rate of the driver of each road section.
S1043: and determining the planar and longitudinal design evaluation result corresponding to the heart rate increase rate range of the driver as the planar and longitudinal design evaluation result of each road section, wherein the planar and longitudinal design evaluation result comprises one of good, medium or poor.
Specifically, the following correspondence relationship exists between the heart rate increase rate range of the driver in the road section and the design evaluation result of the plane and the longitudinal plane:
when the heart rate increase rate of the driver is less than 20%, the corresponding flat longitudinal plane design evaluation result is good, which shows that the psychological influence of the driver is small, and the driving is comfortable and stable.
When the heart rate increase rate of the driver is more than or equal to 20% and less than or equal to 40%, the corresponding flat longitudinal surface design evaluation results are as follows, the psychological stress of the driver is shown, the driving load is large, traffic accidents are easy to cause, and the flat longitudinal surface design of the continuous long downhill road section is properly adjusted when conditions are allowed.
When the heart rate increase rate of the driver is more than 40%, the corresponding flat longitudinal surface design evaluation result is poor, which indicates that the psychology of the driver is very nervous, the driving load is too large, traffic accidents are easily caused, and the flat longitudinal surface design of the continuous long downhill section needs to be readjusted.
As shown in fig. 4, fig. 4 is a schematic diagram of a design evaluation result of a road section plane and a longitudinal plane according to an embodiment of the present application.
S1044: and determining the flat longitudinal plane design evaluation result of each road section as the safety evaluation result of the road section to be evaluated.
Specifically, when the evaluation result of the planar design of the road section is poor, the safety evaluation result of the corresponding road section is poor.
And if the design evaluation result of the plane and the vertical plane of the road section is middle, the safety evaluation result of the corresponding road section is middle.
When the evaluation result of the design of the flat longitudinal surface of the road section is good, the safety evaluation result of the corresponding road section is good.
As an example, as shown in fig. 4, the result of the highest proportion of the safety evaluation results among the three safety evaluation results of the plurality of road sections is used as the safety evaluation result of the road section to be evaluated, and the evaluation result of the flat longitudinal design of the road section to be evaluated is good, that is, the safety evaluation result of the road section to be evaluated is good.
It should be noted that, the present application is described by taking only the result with the largest proportion of the safety evaluation results as the safety evaluation result of the road segment to be evaluated, and in practical applications, the result with the smallest proportion of the safety evaluation results may also be taken as the safety evaluation result of the road segment to be evaluated, which is not limited herein.
The method is as follows: and determining the safety evaluation result of the road section to be evaluated according to the linear harmony evaluation result of each road section and the planar and longitudinal design evaluation result of each road section.
Specifically, when the evaluation result of the linear coordination of a road section is good and the evaluation result of the corresponding flat longitudinal design is good, the safety evaluation result of the road section is good.
And when the linear harmony evaluation result of one road section is poor in linear harmony and the corresponding flat longitudinal design evaluation result is poor, the safety evaluation result of the road section is poor.
When the evaluation result of the linear harmony of a road section is poor and the corresponding design evaluation result of the flat longitudinal surface is good, the safety evaluation result of the road section is poor, and the design parameters of the road section are adjusted in the road design stage.
When the linear consistency evaluation result of one road section is good linear consistency and the corresponding flat longitudinal design evaluation result is poor, the safety evaluation result of the road section is good, and the flat longitudinal design of the road section can be properly adjusted in the road design stage.
The fifth mode is as follows: and determining the safety evaluation result of the road section to be evaluated according to the linear harmony evaluation result of each road section, the planar and longitudinal design evaluation result of each road section and the continuity of the road section to be evaluated.
Specifically, the following steps may be adopted to determine the continuity of the road segment to be evaluated:
s1044a, determining a speed difference range according to the speed difference of the vehicle predicted speeds of the two continuous road sections.
Specifically, the speed difference of the predicted speeds of the vehicles in two consecutive road sections is calculated, and the speed difference range corresponding to the speed difference is determined.
And S1044b, determining the continuity corresponding to the speed difference range as the continuity evaluation result of two continuous road sections, wherein the continuity evaluation result comprises good continuity, medium continuity or poor continuity.
Specifically, the speed difference range and the continuity evaluation result have the following correspondence:
when the speed difference is less than 10km/h, the corresponding continuity evaluation result is good.
When the speed difference is not less than 10km/h and not more than 20km/h, the corresponding continuity evaluation result is middle.
When the speed difference is greater than 20km/h, the corresponding continuity evaluation result is poor.
As shown in fig. 5, fig. 5 is a schematic diagram of a road section continuity evaluation result provided in an embodiment of the present application, and fig. 5 is a road section continuity evaluation result obtained by small vehicle prediction.
S1044c, determining the continuity of the road section to be evaluated according to the determined continuity evaluation result of the continuous road sections.
Specifically, the continuity of the road section to be evaluated is determined according to the continuity evaluation results of a plurality of continuous road sections.
From fig. 5, it can be seen that the continuity evaluation results for two consecutive road segments, from which the continuity of the continuous long downhill section to be evaluated is good based on the small-sized vehicles, are known.
And further, determining the safety evaluation result of the road section to be evaluated according to the linear harmony evaluation result of the road section to be evaluated, the flat longitudinal design evaluation result of the road section to be evaluated and the continuity of the road section to be evaluated.
As an embodiment, when at least two evaluation results among the linear harmony evaluation result of the road section to be evaluated, the planar and longitudinal design evaluation result of the road section to be evaluated, and the continuity of the road section to be evaluated are good, the safety evaluation result of the road section to be evaluated is good.
As an embodiment, when at least two evaluation results among the linear harmony evaluation result of the to-be-evaluated road section, the planar and longitudinal design evaluation result of the to-be-evaluated road section, and the continuity of the to-be-evaluated road section are poor, the safety evaluation result of the to-be-evaluated road section is poor.
As an embodiment, when only one of the linear harmony evaluation result of the road section to be evaluated, the planar design evaluation result of the road section to be evaluated, and the continuity of the road section to be evaluated is good, the safety evaluation result of the road section to be evaluated is medium.
As an example, as can be seen from fig. 3, the evaluation result of the linear consistency of the section to be evaluated based on the small-sized vehicle is poor, as can be seen from fig. 4, the evaluation result of the flat longitudinal design of the section to be evaluated is good, and as can be seen from fig. 5, the continuity of the section to be evaluated based on the small-sized vehicle is good, and if there are two evaluation results based on the small-sized vehicle, the safety evaluation result of the section to be evaluated is good.
That is, for a small vehicle, the linear consistency of the continuous long downhill is relatively poor, but the linear continuity is good; according to the evaluation result of the heart rate increase rate of the driver, the heart rate increase rate of the driver on most road sections of the continuous long downhill is small, and the driving is comfortable and stable; overall, the continuous long downhill slope, although the slope length is long, has a relatively small average longitudinal slope, and the safety level is within an acceptable range.
In the implementation process, the vehicle predicted speed in each road section is determined through the average longitudinal slope from the characteristic point in each road section to the top of the road section to be evaluated, the length of the slope from the characteristic point to the top of the road section to be evaluated and the curvature of the characteristic point, so that safety evaluation is performed on a plurality of road sections according to the vehicle predicted speed, and the accuracy of road safety evaluation is improved.
In the implementation process, the vehicle prediction speed and the driver heart rate increase rate of each road section in the continuous long downhill section are predicted respectively according to the vehicle speed prediction model and the driver heart rate increase rate prediction model, the safety of the continuous long downhill section is evaluated further according to the vehicle prediction speed and the driver heart rate increase rate of each road section, so that the accuracy of road safety evaluation is improved, the driving safety of the continuous long downhill section can be evaluated through the vehicle prediction speed of each road section, the comfort of the continuous long downhill section can be evaluated through the driver heart rate increase rate of each road section, and the defect of the reliability of the evaluation method based on accident indexes due to the randomness of traffic accidents can be overcome.
Referring to fig. 6, a block diagram of a device for evaluating safety of a road segment according to an embodiment of the present application is provided, where the device 600 includes:
the section dividing unit 601 is configured to perform section division on a road section to be evaluated to obtain a plurality of continuous road sections, where the road section to be evaluated is a continuous long downhill section.
A speed determining unit 602, configured to determine the predicted vehicle speed of each road section according to the linear parameter of each road section, where the linear parameter of each road section includes an average longitudinal slope from the feature point to a top of the to-be-evaluated link, a length of the feature point to the top of the to-be-evaluated link, and a curvature of the feature point in each road section.
The evaluation result determining unit 603 is configured to determine a line shape coordination evaluation result of each road section according to a speed difference between the predicted vehicle speed and the designed vehicle speed of each road section, where the line shape coordination evaluation result includes one of good line shape coordination, medium line shape coordination, or poor line shape coordination.
The evaluation result determining unit 603 is further configured to determine a safety evaluation result of the to-be-evaluated road segment according to the linear harmony evaluation result of each road segment, where the safety evaluation result includes one of good, medium, or poor.
In one embodiment, the speed determination unit 602 is specifically configured to:
the following steps are performed for each road section, respectively:
and inputting the linear parameters of one characteristic point in one road section into a vehicle speed prediction model to obtain the vehicle predicted speed of one characteristic point.
And determining the average value of the vehicle predicted speeds of the characteristic points in one road section as the vehicle predicted speed of the one road section, wherein the one road section comprises at least one characteristic point of a straight point, a gentle straight point, a slope changing point, a starting point and an end point.
In one embodiment, the vehicle speed prediction model is:
VSV＝EXP(4.4897+0.0911len+0.1830ln(grade)+0.0477(ln(grade))2-0.0300grade*len-0.0052len*radi)
wherein, VSVThe predicted speed of a vehicle at a characteristic point in a road section is represented, grade represents the average longitudinal slope from the characteristic point to the top of the road section to be evaluated, len represents the length of the slope from the characteristic point to the top of the road section to be evaluated, and radi represents the curvature of the characteristic point.
In an embodiment, the evaluation result determining unit 603 is specifically configured to:
and determining the heart rate increase rate of the driver of each road section according to the linear parameters of each road section.
And determining the range of the heart rate increase rate of the driver according to the heart rate increase rate of the driver of each road section.
And determining the planar and longitudinal design evaluation result corresponding to the heart rate increase rate range of the driver as the planar and longitudinal design evaluation result of each road section, wherein the planar and longitudinal design evaluation result comprises one of good, medium or poor.
And determining the safety evaluation result of the road section to be evaluated according to the linear harmony evaluation result of each road section and the planar and longitudinal design evaluation result of each road section.
In an embodiment, the evaluation result determining unit 603 is specifically configured to:
the following steps are performed for each road section, respectively:
and inputting the linear parameters of one characteristic point in one road section into a driver heart rate increase rate prediction model to obtain the driver heart rate increase rate of one characteristic point.
And determining the average value of the heart rate increase rates of the drivers of the characteristic points in one road section as the heart rate increase rate of the driver of one road section.
In one embodiment, the driver heart rate increase rate prediction model is:
where Δ HR represents the rate of increase in the heart rate of the driver at one characteristic point.
In one embodiment, the evaluation result determination unit 603 is further configured to:
determining a speed difference range according to the speed difference of the vehicle predicted speeds of two continuous road sections;
and evaluating the continuity corresponding to the speed difference range, and determining the continuity evaluation result as the continuity evaluation result of two continuous road sections, wherein the continuity evaluation result comprises good continuity, medium continuity or poor continuity.
And determining the continuity of the road section to be evaluated according to the determined continuity evaluation result of the continuous road sections.
It should be noted that the apparatus 600 shown in fig. 6 can implement the processes of the method in the embodiment of fig. 1. The operations and/or functions of the respective units in the apparatus 600 are respectively for implementing the corresponding flows in the method embodiment in fig. 1. Reference may be made specifically to the description of the above method embodiments, and a detailed description is appropriately omitted herein to avoid redundancy.
Referring to fig. 7, fig. 7 is a schematic structural diagram of an electronic device according to an embodiment of the present disclosure, where the electronic device 700 shown in fig. 7 may include: at least one processor 710, such as a CPU, at least one communication interface 720, at least one memory 730, and at least one communication bus 740. Wherein a communication bus 740 is used to enable direct, connected communication of these components. In this embodiment, the communication interface 720 of the device in this application is used for performing signaling or data communication with other node devices. Memory 730 may be a high-speed RAM memory or a non-volatile memory, such as at least one disk memory. Memory 730 may optionally also be at least one memory device located remotely from the aforementioned processor. The memory 730 stores computer readable instructions, which when executed by the processor 710, cause the electronic device to perform the method processes described above with reference to fig. 1.
An embodiment of the present application provides a computer-readable storage medium, on which a computer program is stored, and the computer program, when executed by a processor, implements the method process shown in fig. 1.
In the several embodiments provided in the present application, it should be understood that the disclosed system and method may be implemented in other ways. The above-described system embodiments are merely illustrative, and for example, the division of the system apparatus into only one logical functional division may be implemented in other ways, and for example, a plurality of apparatuses or components may be combined or integrated into another system, or some features may be omitted, or not implemented.
In addition, units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment.
The above description is only an example of the present application and is not intended to limit the scope of the present application, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, improvement and the like made within the spirit and principle of the present application shall be included in the protection scope of the present application.
Claims (10)
1. A method for road segment safety evaluation, the method comprising:
the method comprises the steps that a road section to be evaluated is divided into a plurality of continuous road sections, wherein the road section to be evaluated is a continuous long downhill section;
determining the vehicle predicted speed of each road section according to the linear parameter of each road section, wherein the linear parameter of each road section comprises an average longitudinal slope from the characteristic point to the top of the road section to be evaluated, a slope length from the characteristic point to the top of the road section to be evaluated and the curvature of the characteristic point;
determining a linear coordination evaluation result of each road section according to the speed difference between the predicted speed and the designed speed of the vehicle of each road section, wherein the linear coordination evaluation result comprises one of good linear coordination, medium linear coordination or poor linear coordination;
and determining the safety evaluation result of the road section to be evaluated according to the linear harmony evaluation result of each road section, wherein the safety evaluation result comprises one of good, medium or poor.
2. The method of claim 1, wherein determining the predicted vehicle speed for each road segment based on the alignment parameter for each road segment comprises:
the following steps are performed for each road section, respectively:
inputting the linear parameters of a characteristic point in a road section into a vehicle speed prediction model to obtain the vehicle predicted speed of the characteristic point;
and determining the average value of the vehicle predicted speed of each characteristic point in the road section as the vehicle predicted speed of the road section, wherein the road section comprises at least one characteristic point of a straight point, a gentle straight point, a slope change point, a starting point and an end point.
3. The method of claim 2, wherein the vehicle speed prediction model is:
VSV＝EXP(4.4897+0.0911len+0.1830ln(grade)+0.0477(ln(grade))2-0.0300grade*len-0.0052len*radi)
wherein, VSVThe method comprises the steps of representing a predicted speed of a vehicle at one characteristic point in one road section, representing an average longitudinal slope from the one characteristic point to the top of the road section to be evaluated, representing a slope length from the one characteristic point to the top of the road section to be evaluated, and representing a curvature of the one characteristic point by radi.
4. The method according to any one of claims 1 to 3, wherein the determining the evaluation result of the road section to be evaluated according to the linear harmony evaluation result of each road section comprises:
determining the heart rate increase rate of the driver of each road section according to the linear parameters of each road section;
determining a heart rate increase rate range of the driver according to the heart rate increase rate of the driver of each road section;
determining a planar and longitudinal design evaluation result corresponding to the heart rate increase rate range of the driver as a planar and longitudinal design evaluation result of each road section, wherein the planar and longitudinal design evaluation result comprises one of good, medium or poor;
and determining the safety evaluation result of the road section to be evaluated according to the linear harmony evaluation result of each road section and the planar and longitudinal design evaluation result of each road section.
5. The method of claim 4, wherein determining the driver heart rate increase rate for each road segment as a function of the alignment parameter for each road segment comprises:
the following steps are performed for each road section, respectively:
inputting the linear parameters of one characteristic point in one road section into a driver heart rate increase rate prediction model to obtain the driver heart rate increase rate of the characteristic point;
and determining the average value of the heart rate increase rates of the drivers of the characteristic points in the road section as the heart rate increase rate of the driver of the road section.
6. The method of claim 5, wherein the driver heart rate growth rate prediction model is:
where Δ HR represents the heart rate increase rate of the driver at the one feature point.
7. The method of claim 4, further comprising:
determining a speed difference range according to the speed difference of the vehicle predicted speeds of two continuous road sections;
evaluating the continuity corresponding to the speed difference range to determine the continuity evaluation result as the continuity evaluation result of the two continuous road sections, wherein the continuity evaluation result comprises good continuity, medium continuity or poor continuity;
and determining the continuity of the road section to be evaluated according to the determined continuity evaluation result of the plurality of continuous road sections.
8. An apparatus for road segment safety evaluation, the apparatus comprising:
the system comprises a section dividing unit, a section judging unit and a judging unit, wherein the section dividing unit is used for performing section division on a road section to be evaluated to obtain a plurality of continuous road sections, and the road section to be evaluated is a continuous long downhill section;
the speed determination unit is used for determining the vehicle predicted speed of each road section according to the linear parameter of each road section, wherein the linear parameter of each road section comprises the average longitudinal slope from the characteristic point to the top of the road section to be evaluated, the length of the slope from the characteristic point to the top of the road section to be evaluated and the curvature of the characteristic point;
the evaluation result determining unit is used for determining a linear coordination evaluation result of each road section according to the speed difference between the vehicle predicted speed and the designed speed of each road section, wherein the linear coordination evaluation result comprises one of good linear coordination, medium linear coordination or poor linear coordination;
the evaluation result determining unit is further configured to determine a safety evaluation result of the to-be-evaluated road segment according to the linear harmony evaluation result of each road segment, where the safety evaluation result includes one of good, medium, or poor.
9. An electronic device, comprising:
a processor, a memory, and a bus, the processor being connected to the memory through the bus, the memory storing computer readable instructions for implementing the method of any one of claims 1-7 when the computer readable instructions are executed by the processor.
10. A computer-readable storage medium, having stored thereon a computer program which, when executed by a processor, carries out the method according to any one of claims 1 to 7.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111157444.2A CN113836736A (en) | 2021-09-30 | 2021-09-30 | Method and device for evaluating safety of road section, electronic equipment and readable storage medium |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111157444.2A CN113836736A (en) | 2021-09-30 | 2021-09-30 | Method and device for evaluating safety of road section, electronic equipment and readable storage medium |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN113836736A true CN113836736A (en) | 2021-12-24 |
Family
ID=78967847
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202111157444.2A Pending CN113836736A (en) | 2021-09-30 | 2021-09-30 | Method and device for evaluating safety of road section, electronic equipment and readable storage medium |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN113836736A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117034435A (en) * | 2023-10-09 | 2023-11-10 | 中国公路工程咨询集团有限公司 | Highway safety evaluation method and system based on BIM technology |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108198421A (en) * | 2018-01-19 | 2018-06-22 | 同济大学 | A kind of expressway traffic accident multi-happening section method of discrimination for distinguishing bicycle, multi vehicle accident |
| KR20200004083A (en) * | 2018-07-03 | 2020-01-13 | 주식회사 건영이엔씨 | Method for evaluating road design and apparatus for executing the method |
| CN112419719A (en) * | 2020-11-18 | 2021-02-26 | 济南北方交通工程咨询监理有限公司 | Method and system for evaluating traffic operation safety of highway |
-
2021
- 2021-09-30 CN CN202111157444.2A patent/CN113836736A/en active Pending
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108198421A (en) * | 2018-01-19 | 2018-06-22 | 同济大学 | A kind of expressway traffic accident multi-happening section method of discrimination for distinguishing bicycle, multi vehicle accident |
| KR20200004083A (en) * | 2018-07-03 | 2020-01-13 | 주식회사 건영이엔씨 | Method for evaluating road design and apparatus for executing the method |
| CN112419719A (en) * | 2020-11-18 | 2021-02-26 | 济南北方交通工程咨询监理有限公司 | Method and system for evaluating traffic operation safety of highway |
Non-Patent Citations (3)
| Title |
|---|
| 刘建蓓等: "公路路线设计安全性评价方法与标准", 中国公路学报, vol. 23, pages 28 - 35 * |
| 廖军洪等: "连续长大下坡心率与线形指标关系模型", 交通工程, vol. 12, no. 4, pages 184 - 189 * |
| 王开洋等: "高速公路超长连续纵坡设计指标对运行速度的影响分析", 公路, no. 2, pages 40 - 44 * |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN117034435A (en) * | 2023-10-09 | 2023-11-10 | 中国公路工程咨询集团有限公司 | Highway safety evaluation method and system based on BIM technology |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN111731308B (en) | Gradient estimation method, storage medium, and electronic device | |
| CN111605555A (en) | Recommendation method, device, medium and electronic equipment for vehicle driving strategy | |
| CN107798872B (en) | Method and device for generating lane-dividing road condition | |
| CN113836736A (en) | Method and device for evaluating safety of road section, electronic equipment and readable storage medium | |
| US20200094851A1 (en) | Realtime driver assistance system | |
| CN112629524A (en) | Travel path recommendation management method and device and electronic equipment | |
| CN113029165B (en) | Navigation data processing method and device, electronic equipment and storage medium | |
| CN108196280A (en) | One kind infers public bus network method by GPS | |
| CN114926540A (en) | Lane line calibration method and device, terminal equipment and readable storage medium | |
| CN114103987B (en) | Vehicle endurance early warning method and device and electronic equipment | |
| CN111866090B (en) | Train fault early warning method and device | |
| JP2014232240A (en) | Road grade data creation device, vehicle energy consumption calculation device and road grade data creation method | |
| CN113516847A (en) | Expressway anti-congestion control method and system based on Internet of vehicles V2X | |
| CN107063292B (en) | Method for accurately calculating driving mileage of motor vehicle through GPS navigation information | |
| CN112389445A (en) | Vehicle driving regulation and control method and device, vehicle-mounted equipment and readable storage medium | |
| CN112017462A (en) | Method, apparatus, electronic device, and medium for generating scene information | |
| CN111896020A (en) | Method for information processing, electronic device, and storage medium | |
| US20140278087A1 (en) | Method and Apparatus for Predicting Times of High Driver Demand | |
| CN111442775A (en) | Road identification method and device, electronic equipment and readable storage medium | |
| CN108877210B (en) | Real-time road condition data production method and vehicle-mounted terminal | |
| CN115359663A (en) | Disaster-resistant toughness calculation method and device for mountain road disaster section and electronic equipment | |
| CN112699563B (en) | Speed segmentation method and device, electronic equipment and storage medium | |
| CN112598897B (en) | Traffic participant behavior detection method, device, electronic equipment and medium | |
| CN114419593A (en) | Information processing method, device, equipment and storage medium | |
| CN113947895A (en) | Data processing method, device, equipment and storage medium |
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: 20211224 |
|
| RJ01 | Rejection of invention patent application after publication |