Human-vehicle-road-environment-oriented Intelligent Collision Warning Strategy

Forward collision has become the main cause to the traffic accidents. To avoid forward collision, this paper proposes a single-lane longitudinal collision avoidance safe distance model and an intelligent collision warning strategy considering driver-vehicle-road-environment. First, the influence of driver characteristics, vehicle factors, road conditions and environment on the safe distance is analyzed. Then to obtain a more accurate reaction time, factors of driver, vehicle, road, and environment are taken into consideration, and the weights of different factors are adaptively adjusted using the attention mechanism. Finally, the longitudinal collision avoidance safe distance model and intelligent collision warning strategy are proposed. Simulation results show that the proposed model and strategy can improve traffic efficiency and reduce traffic accidents.