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A Vehicle Collision Risk Assessment and Prediction Method for Level Intersections

A vehicle collision and plane crossing technology, which is applied in the fields of prediction, vehicle collision risk assessment and prediction, can solve the problems of lack of vehicle collision risk and inability to evaluate vehicle collision risk in real time, so as to reduce traffic conflicts and improve safety.

Active Publication Date: 2022-04-29
SOUTHEAST UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In short, the current assessment of vehicle collision accidents at level intersections is a centralized "post-event" assessment, which cannot evaluate the vehicle collision risk at level intersections in real time, and lacks the ability to "pre-event" predict vehicle collision risks on different time scales.

Method used

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  • A Vehicle Collision Risk Assessment and Prediction Method for Level Intersections
  • A Vehicle Collision Risk Assessment and Prediction Method for Level Intersections
  • A Vehicle Collision Risk Assessment and Prediction Method for Level Intersections

Examples

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Effect test

Embodiment 1

[0048] Example 1: Vehicle collision accidents occur frequently at level intersections, which are key areas of the road. Therefore, vehicle collision risk assessment for level intersections is particularly important. At present, the "central cloud" processing technology is adopted at the macro level, that is, the basic road traffic parameters and traffic flow information are gathered through the traffic command and control platform to evaluate whether there is vehicle congestion or collision at the level intersection. Since there is a transmission delay in the transfer of data from the level intersection to the traffic command and control platform, and there is also a delay in the centralized processing of the "central cloud", this type of technology can only perform "minute-level" traffic status assessment and cannot achieve Real-time evaluation; at the micro level, vehicle collision risk assessment is mainly based on vehicle kinematics and dynamics models, such as vehicle safe...

specific Embodiment approach

[0052] Step 1. Determine the risk factors affecting vehicle collisions;

[0053] In order to reduce the influence of vehicle motion uncertainty on vehicle collision risk assessment and prediction models, the risk factors affecting vehicle collisions are comprehensively considered from different levels, including vehicle kinematics factors, driver behavior factors, and traffic environment factors.

[0054] Sub-step (1), as attached figure 2 As shown, in order to facilitate the analysis and evaluation of vehicle collision risk at level intersections, the level intersection road area is gridded and divided into several a×b grid areas, where a represents the length of the grid area, and b represents the grid area width. This embodiment is based on the attached figure 2 The median length of the vehicles shown is 7m, and the safety distance between workshops is 3m. figure 2 The lane width of the level intersection shown is 3.75m, and the width b of the proposed grid area is 3....

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Abstract

The present invention relates to a vehicle collision risk assessment and prediction method facing level intersections, comprising the following steps: Step 1, determining risk factors affecting vehicle collisions; Step 2, building and training a vehicle collision risk assessment and prediction model based on LSTM network ; Step 3, real-time assessment and prediction of vehicle collision risk at level intersections; this method can not only realize real-time assessment of vehicle collision risk, but also realize prediction of vehicle collision risk on different time scales. Early warning of the scale can significantly reduce traffic conflicts between vehicles at level intersections and effectively improve the safety of key areas of such roads.

Description

technical field [0001] The invention relates to a prediction method, in particular to a vehicle collision risk assessment and prediction method facing level intersections, and belongs to the technical field of traffic safety assessment. Background technique [0002] As a key area of ​​the road, vehicle collision accidents occur frequently at level intersections. Therefore, vehicle collision risk assessment for level intersections is particularly important. At present, the "central cloud" processing technology is adopted at the macro level, that is, the basic road traffic parameters and traffic flow information are gathered through the traffic command and control platform to evaluate whether there is vehicle congestion or collision at the level intersection. Since there is a transmission delay in the transfer of data from the level intersection to the traffic command and control platform, and there is also a delay in the centralized processing of the "central cloud", this typ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G08G1/16G06K9/62G06N3/04G06Q10/06
CPCG06Q10/06G08G1/16G08G1/166G08G1/167G06N3/045G06F18/214
Inventor 李旭胡锦超徐启敏胡玮明
Owner SOUTHEAST UNIV
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