Improved social force model based on exit selection formicroscopic pedestrian simulation in subway station
来源期刊：中南大学学报(英文版)2015年第11期
论文作者：ZHENG Xun LI Hai-ying MENG Ling-yun XU Xin-yue CHEN Xu
文章页码：4490 - 4497
Key words：exit selection; social force model; exit width; microscopic behavior; subway station
Abstract: An improved social force model based on exit selection is proposed to simulate pedestrians’ microscopic behaviors in subway station. The modification lies in considering three factors of spatial distance, occupant density and exit width. In addition, the problem of pedestrians selecting exit frequently is solved as follows: not changing to other exits in the affected area of one exit, using the probability of remaining preceding exit and invoking function of exit selection after several simulation steps. Pedestrians in subway station have some special characteristics, such as explicit destinations, different familiarities with subway station. Finally, Beijing Zoo Subway Station is taken as an example and the feasibility of the model results is verified through the comparison of the actual data and simulation data. The simulation results show that the improved model can depict the microscopic behaviors of pedestrians in subway station.
ZHENG Xun(郑勋)1, 2, LI Hai-ying(李海鹰)1, MENG Ling-yun(孟令云)1, XU Xin-yue(许心越)1, 2, CHEN Xu(陈旭)1, 2
(1. State Key Laboratory of Rail Traffic Control and Safety (Beijing Jiaotong University), Beijing 100044, China;
2. School of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044, China)
Abstract:An improved social force model based on exit selection is proposed to simulate pedestrians’ microscopic behaviors in subway station. The modification lies in considering three factors of spatial distance, occupant density and exit width. In addition, the problem of pedestrians selecting exit frequently is solved as follows: not changing to other exits in the affected area of one exit, using the probability of remaining preceding exit and invoking function of exit selection after several simulation steps. Pedestrians in subway station have some special characteristics, such as explicit destinations, different familiarities with subway station. Finally, Beijing Zoo Subway Station is taken as an example and the feasibility of the model results is verified through the comparison of the actual data and simulation data. The simulation results show that the improved model can depict the microscopic behaviors of pedestrians in subway station.
Key words:exit selection; social force model; exit width; microscopic behavior; subway station
