Risk analysis of rear-end collision scenario

With the continuous growth of the number of motor vehicles in the country, traffic accidents occur frequently, and rear-end accidents occupy a large proportion, and rear-end accidents account for more than half of the traffic accidents occurring in intelligent vehicles.At present, the research on reducing the risk of rear-end collision mostly focuses on the risk of intelligent vehicle and the traffic in front of it, and less considers the risk of intelligent vehicle and the traffic in rear.Based on this, on the premise that there are traffic vehicles behind the intelligent vehicle, this paper analyzes the dangerous scene with traffic vehicles in front of the intelligent vehicle and the dangerous scene without traffic vehicles in front of the intelligent vehicle.For the nonexistent dangerous scene of the traffic ahead, the dangerous situation is judged according to the minimum safe distance obtained from the braking process analysis.For the dangerous scene of the traffic in front of the car, the analysis is carried out according to the uniform speed, uniform acceleration and uniform deceleration of the traffic in front of the car, and the danger situation of the intelligent car and the traffic in the rear is judged by using the improved braking minimum safety distance.Finally, a total of 11 dangerous situations in the two dangerous scenarios are obtained.Then, MATLAB and PreScan were used to conduct joint simulation, and three dangerous situations were randomly selected for simulation experiment verification.The results show that at 0.921s, 2.433s and 2.438s before the collision, the intelligent car can predict the possible collision correctly according to the danger situation.