Highway safety hazard road section identification method and device

Abstract

The embodiment of the invention provides a highway safety hazard road section identification method and device. Historical traffic flow data, current traffic flow data and accident influence factors of a road section are acquired, the accident severity of the road section is determined according to the historical traffic flow data and the current traffic flow data of the road section, and the accident frequency of the road section is determined according to the accident influence factors of the road section; then the accident risk value of the road section is determined according to the accident severity of the road section and the accident frequency of the road section; and finally all the road sections are ordered according to the descending order of the accident risk value, and the previously ordered N road sections are determined to be the safety hazard road sections, wherein N is a positive integer. Compared with the static and fixed safety hazard road section determination method, the characteristic that the highway safety characteristics change along with the time-varying characteristics of the accident influence factors can be further reflected so that the safety hazard road sections requiring intensive monitoring in the highway network can be more comprehensively identified, and the identification precision of the safety hazard road sections can be enhanced.

Description

technical field [0001] The embodiments of the present invention relate to the field of traffic safety management, and in particular to a method and device for identifying road sections with potential safety hazards on expressways. Background technique [0002] With the acceleration of the process of regional integration, the mileage and travel demand of expressways are increasing, which poses a severe challenge to the safety of expressways. The use of high-definition video monitoring system to conduct comprehensive and real-time monitoring of expressway operating conditions is conducive to quickly discovering abnormal traffic operations and responding in a timely manner. It is an important part of expressway information construction in recent years. However, due to the large jurisdiction and long highway mileage, the monitors of large monitoring centers often have to monitor thousands of videos at the same time, and it often takes tens of minutes to patrol all the videos, wh...

AI Technical Summary

Problems solved by technology

[0003] Embodiments of the present invention provide a method and device for identifying hidden danger road sections of expressways, which are used to solve the problem of low precision in the prior art of identifying hidden danger road sections by statically analyzing historical data of traffic accidents

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