Vehicle conflict risk quantification method for intelligent network connection intersection traffic control

By performing spatial gridding of intersections and analyzing lateral vehicle offsets, the risk of vehicle conflicts at intelligent connected intersections is quantified, solving the problem of insufficient spatial modeling accuracy in existing technologies and achieving high-precision risk assessment and safety optimization decisions.

CN121661827APending Publication Date: 2026-03-13CHONGQING JIAOTONG UNIV
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-12-05
Publication Date
2026-03-13

AI Technical Summary

Technical Problem

Existing technologies for risk assessment of conflicts at intelligent connected intersections suffer from insufficient spatial modeling accuracy, making it difficult to accurately locate and quantify conflict areas. Furthermore, they fail to fully consider the uncertainty of vehicle lateral position and local spatiotemporal overlap characteristics, resulting in inaccurate risk assessment results and making it difficult to support joint safety-efficiency optimization decisions.

Method used

The intersection space is divided into several grids. By combining the lateral offset of the vehicle in the trajectory plane with the time proximity, the collision probability and injury probability of the vehicle at the conflict grid are calculated. The grid-based processing realizes the two-dimensional quantification of conflict risk.

Benefits of technology

It enables a refined assessment of vehicle conflict risks at intelligent connected intersections, providing a reliable basis for safety management decisions, reducing actual conflict risks, and improving traffic efficiency.

✦ Generated by Eureka AI based on patent content.

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Abstract

The invention discloses an intelligent network connection intersection vehicle conflict risk quantification method, and belongs to the field of intelligent traffic control. The method comprises the steps that firstly, the internal space of an intersection is divided into a plurality of grids, vehicle combinations which conflict with one another and corresponding conflict grids are determined according to driving tracks of all vehicles in the intersection, and the probability that the vehicles occupy the conflict grids and the time proximity when the vehicles pass through the conflict grids are calculated; secondly, calculating the collision probability of the vehicle at the collision grid and the casualty probability after collision; and finally, calculating the conflict risk between the vehicles, and further determining the total conflict risk of the vehicles passing at the intersection. According to the method, the collision probability between the mutually conflicting vehicles and the casualty probability after collision are considered at the same time, so that the collision risk between the vehicles is quantified, and a refined collision risk assessment method can be provided for safety management and control of intelligent network intersections.
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