Real-time driving risk evaluation method and device based on equivalent force

Abstract

The invention discloses a real-time driving risk evaluation method and device based on an equivalent force. The method comprises that S1) traffic environment information and different types of trafficenvironment using object information of a road environment of an area to be evaluated are collected; S2) the traffic environment using object information and the environment information obtained in the step S1 are input to an electronic control unit of a vehicle, and a road risk evaluation model based on distribution of the equivalent force is pre-arranged in the electronic control unit; and S3)via the road risk evaluation model based on distribution of the equivalent force, equivalent force distribution Fij between the road traffic risk E and the vehicle i and the object j in different traffic environments of the vehicle i is obtained, and the object j represents essential traffic factors besides the vehicle i in the different types of traffic environment using object information. Thus,services can be provided for traffic safety management, road construction, driving assistance and information interaction in the different types of traffic environment.

Description

technical field [0001] The invention relates to the technical field of smart car applications, in particular to a method and device for real-time assessment of driving risk based on equivalent force. Background technique [0002] With the development of the economy and the progress of the society, the number of motor vehicles in our country is increasing continuously, and the situation of traffic accidents is very serious. Although my country has made great progress in passive safety and active safety technology, which has promoted a significant decline in the number of traffic deaths, however, according to traffic accident statistics, the number of traffic accidents in my country is still high. In 2015, there were 187,787 road traffic accidents involving casualties across the country, resulting in 58,022 deaths and 199,880 injuries. Intelligent transportation system (ITS, Intelligent transportation system) can reduce traffic accidents and improve traffic safety through the...

AI Technical Summary

Problems solved by technology

However, traffic safety is affected by many traffic factors including various types of road users and the road environment, and the interaction among these factors is very complex

Therefore, most of the existing technologies only consider the influence of limited factors (mainly surrounding vehicles), such as the advanced driver assistance system (ADAS, Advanced driver assistant system), which is usually applied to simple scenarios such as going straight and changing lanes to reduce accidents such as rear-end collisions and side collisions , this type of technology is mostly based on vehicle dynamics and kinematics, and cannot adapt to the increasingly complex traffic environment

Existing traffic safety models based on the principles of vehicle kinematics and dynamics usually use vehicle state information (speed, acceleration, yaw rate, etc.) and relative motion relationships between vehicles (relative speed, relative distance, etc.) Risks posed by the environment; this type of traffic safety model is difficult to reflect the interaction and dynamic changes of driver characteristics, traffic environment and vehicle state

[0003] In terms of road risk assessment methods, existing technologies mainly include absolute number method, accident rate method, and accident intensity analysis method. Macro statistical data of traffic accidents such as the death toll of 10,000 vehicles are evaluated by mathematical methods. Although such methods have a certain guiding effect on traffic safety construction, the evaluation results are static and cannot display the current situation of the traffic environment in real time. safety status, not to mention forward-looking guidance on traffic safety management within a certain time and space

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