Driving risk assessment method and device

Abstract

The embodiment of the present invention discloses a driving risk assessment method and device. The method comprises the steps of: obtaining first driving data of a vehicle to be assessed, second driving data of a moving target, traffic environmental data of a target region and historical road accident data of the target region; determining a dynamic risk factor according to the first driving dataof the vehicle to be assessed and the second driving data of the moving target; determining a semi-dynamic risk factor according to the traffic environmental data; determining a static state risk factor according to the historical traffic accident data and the traffic environmental data; fusing the dynamic risk factor, the semi-dynamic risk factor and the static state risk factor to obtain a comprehensive risk factor; and determining a traffic risk grade according to the comprehensive risk factor. The driving risk assessment method and device combines various factors influencing the crossing risks based on the complexity and the variability of the crossing condition to determine the final traffic risk grade, and therefore, the driving risk assessment method and device can accurately and effectively prompt the risks to drives to avoid the traffic accidents.

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

Images