Traffic unit safety evaluation method based on incomplete elastic collision theory

Abstract

The invention discloses a traffic unit safety evaluation method based on a non-complete elastic collision theory, and the method comprises the steps: 1, selecting a proper straight line conflict risk index, and constructing a non-straight line conflict risk index; 2, establishing a one-dimensional collision model under linear collision and a two-dimensional collision model under nonlinear collision according to a non-complete elastic collision theory, and constructing collision severity index extension based on the models; 3, calculating the conflict risk and severity of the indexes for identifying the traffic units under different parameters, and collecting the accident rate and accident severity of the same place; and 4, selecting the optimal parameter of the index, and evaluating the safety level of the traffic unit. According to the method, the dangerousness before and after the vehicle arrives at the conflict point can be accurately described, the influence of vehicle deformation recovery in the collision springback stage on the conflict severity evaluation result can be accurately represented, and the evaluation precision of the conflict dangerousness index and the conflict severity index is improved, so that the accuracy of traffic unit safety evaluation is improved.

Description

technical field [0001] The invention relates to a traffic unit safety evaluation method based on incomplete elastic collision theory, which belongs to the field of road traffic safety evaluation based on traffic conflict. Background technique [0002] Today, road traffic safety has become a key issue of global concern. Because road traffic accidents are more harmful to human life and property safety, it has become an important tool to prevent road traffic accidents by accurately and efficiently evaluating the safety level of traffic units (road sections or intersections) and proposing targeted road safety improvement measures. Effective means are of great significance to reducing the frequency of accidents and mitigating the serious consequences of accidents. [0003] Predicting the accident frequency and severity of traffic units is an important method for the safety evaluation of traffic units, but the traditional method of predicting accident frequency and severity relie...

AI Technical Summary

Problems solved by technology

To sum up, the traditional traffic conflict risk index cannot comprehensively evaluate the danger of two vehicles before and after reaching the conflict point; the traditional traffic conflict severity index based on the completely inelastic collision theory ignores the recovery of kinetic energy in the rebound stage of the collision The impact on the evaluation results reduces the evaluation accuracy of the index

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