Method and device for real-time assessment of driving risk based on equivalent force

Abstract

The present invention discloses a real-time evaluation method and device for driving risk based on equivalent force. The method includes: S1, collecting traffic environment information and various types of traffic environment use object information in the road environment in the area to be evaluated; S2, collecting The traffic environment use object information and environmental information obtained in S1 are input into the electronic control unit of the vehicle, and the road risk assessment model based on the equivalent force distribution is preset in the electronic control unit; S3, through the The distributed road risk assessment model obtains the road traffic risk E of vehicle i in different traffic environments and the equivalent force distribution Fij between vehicle i and object j. any other traffic elements. The invention can provide services for traffic safety management, road construction, driving assistance and information interaction under various traffic environments.

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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