中国物理B ›› 2020, Vol. 29 ›› Issue (9): 98901-098901.doi: 10.1088/1674-1056/abad1b

• • 上一篇    

An extended cellular automata model with modified floor field for evacuation

Da-Hui Qin(秦大辉), Yun-Fei Duan(段云飞), Dong Cheng(程栋), Ming-Zhu Su(苏铭著), Yong-Bo Shao(邵永波)   

  1. School of Civil Engineering and Geomatics, Southwest Petroleum University, Chengdu 610500, China
  • 收稿日期:2020-01-23 修回日期:2020-05-15 接受日期:2020-08-07 出版日期:2020-09-05 发布日期:2020-09-05
  • 通讯作者: Yun-Fei Duan E-mail:201822000591@stu.swpu.edu.cn
  • 基金资助:
    Project supported by the Sichuan Youth Science and Technology Innovation Research Team Project, China (Grant No. 2019JDTD0017), the National Natural Science Foundation of China (Grant No. 41702340), and the National Science and Technology Major Project of China (Grant No. 2017ZX05013001-002).

An extended cellular automata model with modified floor field for evacuation

Da-Hui Qin(秦大辉), Yun-Fei Duan(段云飞), Dong Cheng(程栋), Ming-Zhu Su(苏铭著), Yong-Bo Shao(邵永波)   

  1. School of Civil Engineering and Geomatics, Southwest Petroleum University, Chengdu 610500, China
  • Received:2020-01-23 Revised:2020-05-15 Accepted:2020-08-07 Online:2020-09-05 Published:2020-09-05
  • Contact: Yun-Fei Duan E-mail:201822000591@stu.swpu.edu.cn
  • Supported by:
    Project supported by the Sichuan Youth Science and Technology Innovation Research Team Project, China (Grant No. 2019JDTD0017), the National Natural Science Foundation of China (Grant No. 41702340), and the National Science and Technology Major Project of China (Grant No. 2017ZX05013001-002).

摘要: The floor field model has been widely used in evacuation simulation research based on cellular automata model. However, conventional methods of setting floor field will lead to highly insufficient utilization of the exit area when people gather on one side of the exit. In this study, an extended cellular automata model with modified floor field is proposed to solve this problem. Additionally, a congestion judgment mechanism is integrated in our model, whereby people can synthetically judge the degree of congestion and distance in front of them to determine whether they need to change another exit to evacuate or not. We contrasted the simulation results of the conventional floor field model, the extended model proposed in this paper, and Pathfinder software in a same scenario. It is demonstrated that this extended model can ameliorate the problem of insufficient utilization of the exit area and the trajectory of pedestrian movement and the crowd shape of pedestrians in front of exit in this new model are more realistic than those of the other two models. The findings have implications for modeling pedestrian evacuation.

关键词: evacuation simulation, cellular automata model, floor field model, congestion

Abstract: The floor field model has been widely used in evacuation simulation research based on cellular automata model. However, conventional methods of setting floor field will lead to highly insufficient utilization of the exit area when people gather on one side of the exit. In this study, an extended cellular automata model with modified floor field is proposed to solve this problem. Additionally, a congestion judgment mechanism is integrated in our model, whereby people can synthetically judge the degree of congestion and distance in front of them to determine whether they need to change another exit to evacuate or not. We contrasted the simulation results of the conventional floor field model, the extended model proposed in this paper, and Pathfinder software in a same scenario. It is demonstrated that this extended model can ameliorate the problem of insufficient utilization of the exit area and the trajectory of pedestrian movement and the crowd shape of pedestrians in front of exit in this new model are more realistic than those of the other two models. The findings have implications for modeling pedestrian evacuation.

Key words: evacuation simulation, cellular automata model, floor field model, congestion

中图分类号:  (Transportation)

  • 89.40.-a
07.05.Tp (Computer modeling and simulation) 05.65.+b (Self-organized systems)