Method and device for assessing driving risk

Abstract

The embodiment of the present application discloses a driving risk assessment method and device. The method includes: acquiring the first driving data of the vehicle to be evaluated, the second driving data of the moving target, the traffic environment data of the target area, and the historical traffic of the target area Accident data; determine the dynamic risk coefficient according to the first driving data of the vehicle to be evaluated and the second driving data of the moving target; determine the semi-dynamic risk coefficient according to the traffic environment data; determine the static risk coefficient according to the historical traffic accident data and the traffic environment data; The dynamic risk coefficient, the semi-dynamic risk coefficient and the static risk coefficient are fused to obtain the comprehensive risk coefficient; the traffic risk level is determined according to the comprehensive risk coefficient. The embodiment of the present application is based on the complexity and variability of the intersection situation, combined with a variety of factors that affect the risk of the intersection, to determine the final traffic risk level, so the embodiment of the application can accurately and effectively prompt the driver to avoid causing traffic accidents. ACCIDENT.

Description

technical field [0001] The embodiments of the present application relate to the technical field of communications, and more specifically, to a method and device for evaluating driving risks. Background technique [0002] The intersection is a very important scene in the traffic system, and it is often a place where traffic accidents frequently occur. With the advancement of information technology, advanced and real-time visual processing, and reliable communication technology have gradually appeared in the field of vision of traffic monitoring systems. [0003] At present, the existing traffic monitoring system is installed at the intersection, and the existing traffic monitoring system mainly includes a camera, a radar speed measuring device, a controller, a wireless module and an alarm prompt module. Among them, the traffic detection system uses the radar speed measuring device and the camera to detect the real-time information of the vehicles, pedestrians and non-motor v...

AI Technical Summary

Problems solved by technology

However, the real intersection situation is complex and changeable. If we only consider the real-time information of the intersection without combining other factors that affect the risk of the intersection, then the existing traffic monitoring system cannot accurately assess the risk of the intersection. Therefore, the current Some traffic monitoring systems may send wrong risk assessment results to vehicles passing through the intersection, causing traffic accidents

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