Road driving safety risk early warning method

Abstract

The invention discloses a road driving safety risk early warning method, comprising the following steps: (1) simulating the movement of a tire on a road surface during driving, detecting and simulating an axial force N, a longitudinal component force F1 and a transverse component force F2 between the tire and the road surface, and calculating a dynamic friction coefficient of the road surface [mu]1=F1(t) / N(t), [mu]2=F2(t) / N(t) by calculating the integral N(t)=[the integral of]Ndt for the axial force, and respectively calculating the integral F1(t)=[the integral of]F1dt, F2(t)=[the integral of]F2dt for the longitudinal component force F1 and the transverse component force F2, wherein the t is a set time interval; and (2) setting a standard value of the road surface friction coefficient as [mu]0, wherein [delta][mu]1=[mu]1 / [mu]0, [delta][mu]2=[mu]2 / [mu]0, and evaluating the driving risk according to a smaller value in [delta][mu]1 and [delta][mu]2. According to the road driving safety risk early warning method, the risk of slipping and side-slipping of a vehicle in the moving direction can be analyzed, and the risk level can be dynamically displayed in real time, so that a driver canbe alert to safety and controlling the driving speed in time.

Description

technical field [0001] The invention relates to a road safety risk early warning method. Background technique [0002] The safety risk of road traffic operation is not only mainly affected by the overall quality of drivers such as driving skills and experience, awareness of compliance and safety awareness, but also by factors such as road conditions, vehicle conditions and road environment. During the driving process, the road adhesion coefficient is the friction coefficient between the tire and the road surface, which determines the braking performance of the vehicle and has an important impact on driving safety. However, when environmental factors such as roughness of the road surface, temperature and humidity, and soil cover change, the adhesion coefficient also changes, and it is difficult for the driver to perceive the deterioration of the road adhesion condition accurately or in time, and cannot take appropriate driving speed and safety measures, resulting in A sharp ...

AI Technical Summary

Problems solved by technology

However, when environmental factors such as roughness of the road surface, temperature and humidity, and soil cover change, the adhesion coefficient also changes, and it is difficult for the driver to perceive the deterioration of the road adhesion condition accurately or in time, and cannot take appropriate driving speed and safety measures, resulting in The sharp increase in traffic safety risks

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