A Study of Interference between Pedestrians and Vehicles in Drop-off Area at Railway Station based on Celluar Automata

In a drop-off area of railway station, there is serious interference between vehicles and between pedestrians and vehicles, which greatly affects the traffic efficiency of the area, and leads to traffic safety problems. At present, however, there is a lack of research on the interference between vehicles and pedestrians in the drop-off area. To deal with the problem of interference between vehicles and pedestrians, this paper proposes an interference model based on cellular automata between vehicles and pedestrians in the drop-off area. The model mainly consists of a parking model and a motion model for vehicles, and a decision model and a motion model for pedestrians. The model is calibrated by the traffic flow in the drop-off area of Beijingxi Railway Station, after which the traffic characteristics of the drop-off area are analyzed: Traffic volume increases with the increase of vehicle arrival rate, and then the trend gradually tends to be steady to 1 090 pcu/h; vehicles in the outside lane have a greater influence on traffic volume in this area; the probability of conflict event on the unsignalized crosswalks in the drop-off area is about 5.13%; the delay of the outside lane vehicle is smaller than vehicle of the inboard lane, and the pedestrian delay is not simply multiplied as the number of crossing lanes increases.