Research on numerical simulation method of human-vehicle interaction behavior based on cellular automata

Abstract:

In order to improve the rationality of the mixed evacuation simulation of pedestrians and vehicles in complex human-vehicle interaction scenarios, reliable technical support is provided for safe design and efficient operation in such scenarios. Based on the cellular automata model, this paper constructs and develops a pedestrian-vehicle mixed-flow interaction model that takes into account factors such as pedestrians crossing obstacles, vehicles avoiding pedestrians, and vehicle parking on whether pedestrians pass the road or not. This method is used to simulate a typical commercial underground parking lot in Xi'an, and the relationship between the microscopic human-vehicle interaction behavior and evacuation time and safety accidents in the evacuation process in this scene is studied. The conclusion shows that the simulation method constructed in this paper sets independent behavior rules for pedestrians and vehicles and performs nonlinear coupling simulations， which is more in line with the real scene; the simulation results of the scene can be obtained, within the carrying capacity of the lane, the vehicle and the parking space in the lane The influence of interaction is the main factor that causes delays and dangerous situations in the process of mixed traffic between people and vehicles.