Study on Modeling and Simulation of Vehicle Safety Distance in Low Speed for Rear-end Collision Avoidance

Abstract

Rear-end collisions of low speed vehicles on the urban road are common accident scenarios. A judgment of safety distance is a crucial part of a rear-end collision avoidance system which relies on safety distance model. In order to solve the problems of traditional safety distance models, this paper proposes a new model to avoid rear-end collisions. The new model considers the braking performance of the host vehicle and the motion state of the heading vehicle. Then a rear-end collision avoidance system including the new model is established using a combination of CarSim with Simulink software. Three typical working conditions through the co-simulation is simulated for verifying the model. Simulation results show that the new model ensures rear-end collision can be avoided, meanwhile keeping a short relative distance that improves road efficiency.