Modeling and Simulation of Pedestrian-non-motorized Vehicle Interaction Behavior in Bus Stop Areas
To study the conflicting behaviors of pedestrians and non-motorized vehicles in the bus stop area,based on the meta-automata model,firstly,considering aggressive pedestrians and mixed non-motorized vehicle flows,coupling pedestrian motion model and non-motorized vehicle motion model by pedestrian crossing decision rule and non-motorized vehicle avoidance rule,the two-way pedestrian Blue model was used to simulate the movement behavior of pedestrians entering and leaving the station,and the improved NaSch model was used to simulate the movement behavior of non-motorized vehicles to establish the interaction model between pedestrians and non-motorized vehicles in the bus stop area.Then,observation experiments were conducted at Platform B of Beijing Xidan Mall bus station to show the interaction between pedestrians and non-motorized vehicles at the micro level,and analyze the conflict evolution law between the two under different traffic composition and the influence of pedestrian arrival rate and non-motorized vehicle arrival rate on the number of delays and conflicts in and out of the station.The results show that non-motorized congestion mostly occurs at the initial interaction between non-motorized vehicles and pedestrians,and extends in the direction of incoming traffic.Pedestrian and non-motorized delays are more significantly affected by the non-motorized arrival rate than the inbound and outbound pedestrian arrival rate,pedestrian and non-motorized delays peak at an inbound and outbound pedestrian ratio of 0.5,pedestrian and non-motorized delays are smaller at an inbound pedestrian ratio of 1 than at an outbound pedestrian ratio of 1.At a certain pedestrian arrival rate,the number of conflicts increases with the increase of the arrival rate of non-motor vehicles.When the arrival rate of pedestrians is small,the number of conflicts shows a slow growth trend.With the increase of the arrival rate of pedestrians,the growth rate of the number of conflicts shows a trend of increasing first and then decreasing.
bus stop areamix traffic flowcellular automatatraffic flow characteristics
万方数据
维普
