›› 2015, Vol. 24 ›› Issue (3): 38901-038901.doi: 10.1088/1674-1056/24/3/038901

• INTERDISCIPLINARY PHYSICS AND RELATED AREAS OF SCIENCE AND TECHNOLOGY • 上一篇    下一篇

A new collision avoidance model for pedestrian dynamics

王千龄a, 陈姚b, 董海荣a, 周敏a, 宁滨a   

  1. a State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University, Beijing 100044, China;
    b School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing 100044, China
  • 收稿日期:2014-08-06 修回日期:2014-10-09 出版日期:2015-03-05 发布日期:2015-03-05
  • 基金资助:
    Project supported by the National Natural Science Foundation of China (Grant Nos. 61233001 and 61322307) and the Fundamental Research Funds for Central Universities of China (Grant No. 2013JBZ007).

A new collision avoidance model for pedestrian dynamics

Wang Qian-Ling (王千龄)a, Chen Yao (陈姚)b, Dong Hai-Rong (董海荣)a, Zhou Min (周敏)a, Ning Bin (宁滨)a   

  1. a State Key Laboratory of Rail Traffic Control and Safety, Beijing Jiaotong University, Beijing 100044, China;
    b School of Electronic and Information Engineering, Beijing Jiaotong University, Beijing 100044, China
  • Received:2014-08-06 Revised:2014-10-09 Online:2015-03-05 Published:2015-03-05
  • Contact: Dong Hai-Rong E-mail:hrdong@bjtu.edu.cn
  • Supported by:
    Project supported by the National Natural Science Foundation of China (Grant Nos. 61233001 and 61322307) and the Fundamental Research Funds for Central Universities of China (Grant No. 2013JBZ007).

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摘要： The pedestrians can only avoid collisions passively under the action of forces during simulations using the social force model, which may lead to unnatural behaviors. This paper proposes an optimization-based model for the avoidance of collisions, where the social repulsive force is removed in favor of a search for the quickest path to destination in the pedestrian's vision field. In this way, the behaviors of pedestrians are governed by changing their desired walking direction and desired speed. By combining the critical factors of pedestrian movement, such as positions of the exit and obstacles and velocities of the neighbors, the choice of desired velocity has been rendered to a discrete optimization problem. Therefore, it is the self-driven force that leads pedestrians to a free path rather than the repulsive force, which means the pedestrians can actively avoid collisions. The new model is verified by comparing with the fundamental diagram and actual data. The simulation results of individual avoidance trajectories and crowd avoidance behaviors demonstrate the reasonability of the proposed model.

关键词: pedestrian dynamics, social force model, collision avoidance, optimization-based method

Abstract: The pedestrians can only avoid collisions passively under the action of forces during simulations using the social force model, which may lead to unnatural behaviors. This paper proposes an optimization-based model for the avoidance of collisions, where the social repulsive force is removed in favor of a search for the quickest path to destination in the pedestrian's vision field. In this way, the behaviors of pedestrians are governed by changing their desired walking direction and desired speed. By combining the critical factors of pedestrian movement, such as positions of the exit and obstacles and velocities of the neighbors, the choice of desired velocity has been rendered to a discrete optimization problem. Therefore, it is the self-driven force that leads pedestrians to a free path rather than the repulsive force, which means the pedestrians can actively avoid collisions. The new model is verified by comparing with the fundamental diagram and actual data. The simulation results of individual avoidance trajectories and crowd avoidance behaviors demonstrate the reasonability of the proposed model.

Key words: pedestrian dynamics, social force model, collision avoidance, optimization-based method

中图分类号:  (Transportation)

  • 89.40.-a
05.65.+b (Self-organized systems) 89.75.-k (Complex systems)