Anti-Collision System Design of Vehicle Lane Change Overtaking

Abstract

Collision accidents occur frequently during the current car driving, most of which are caused by improper driver behavior and misjudgment. This paper proposes an anti-collision assisted driving system design for vehicle overtaking. The main function of the system is to remind the driver when to change the time of the lane change for safety, so as to achieve the anti-collision effect. Firstly, the lane changing process is analyzed. Then based on the research of the optimal path planning strategy for vehicle lane change, two variable path trajectory curve models of polynomial function and sinusoidal function are selected. Finally, the critical collision time point is derived and calculated in combination with the established model. After this time point, the lane change can ensure the safety of driving. The model is simulated and the human-car-road model is established by CarSim: driver control model, vehicle dynamics model and road scene model. And combined with MATLAB, the simulation is carried out from the longitudinal relative speed of the two vehicles and the horizontal relative distance between the two vehicles. The results show that the critical time calculated by the sinusoidal model is safer when the relative vehicle speed is lower, and the critical time calculated by the polynomial curve model is safer when the relative vehicle speed is higher. At the same time, the safety critical time points will decrease as the relative speed and the relative distance increase. The design of the assisted driving system proposed in this paper can effectively reduce the collision accident of the car and can lay a good foundation for intelligent driving.