Narrow Results

In this paper, an extended cellular automaton model is proposed to simulate the complex characteristics of traffic flow and the probability of the occurrence of traffic accidents by considering the modified conditions for determining whether traffic accidents happen and the effect of multi-slowdown sections on a highway. The simulation results show that the multi-slowdown sections can lead to multiphase coexistences (i.e. free flow phase, congestion phase and saturation phase) in traffic system. The fundamental diagram shows that the number of slowdown section does not influence the mean velocity and the mean flow under the periodic boundary condition, but the existence of slowdown sections can effectively reduce the occurrence of traffic accident. In particular, it is found that the probability of car accidents to occur is the largest at the joint of the normal-speed section and slowdown section, and the underlying mechanism is analyzed. In addition, to design the appropriate limited speed and reduce the differences between the normal speed and limited speed will alleviate traffic congestion and reduce the occurrence of traffic accidents obviously.

For a long time, China’s transportation safety production situation has been generally stable. However, the situation is still grim, with frequent accidents, and the number of deaths and accidents in road traffic accidents is still high. Therefore, it will be of great use to analyze and study the causes of traffic accidents. The main work of this paper is to explore the correlation between accident factors and traffic accident severity. According to the relevant knowledge of machine learning, the influence and correlation of human, vehicle, road and environmental factors on the severity of traffic accidents are analyzed by using three correlation coefficients and the maximum information coefficient of statistics. The aim is to improve the current road safety situation and thus reduce the occurrence of traffic accidents. The results show that the severity of traffic accidents has the greatest correlation with the types of casualties and whether there is police intervention, and has a great correlation with pedestrians, the number of vehicles causing traffic accidents and the level of roads.