Modeling the effects of entry restriction on crowd dynamics for dual-exit bottleneck

Author:

Zhuang Yifan123,Schadschneider Andreas2,Yang Lizhong1,Fu Zhijian4,Zhao Daoliang5

Affiliation:

1. State Key Laboratory of Fire Science, University of Science and Technology of China, Collaborative Innovation Center for Urban Public Safety, Hefei 230026, P. R. China

2. Institut fuer Theoretische Physik, Universitaet zu Koeln, D-50937 Koeln, Germany

3. College of Urban Railway Transportation, Shanghai University of Engineering Science, Shanghai 201620, P. R. China

4. School of Transportation and Logistics, National United Engineering Laboratory of Integrated and Intelligent Transportation, Southwest Jiaotong University, Chengdu 610031, P. R. China

5. College of Urban Construction and Safety Engineering, Shanghai Institute of Technology, Shanghai 201418, P. R. China

Abstract

It is essential to model the crowd movement considering complex building structures coupling different psychological perceptions. To model the interaction between individual perception and surroundings, a perception floor field cellular automata (PFFCA) is proposed in this paper. Here, the forerunners imitation behavior is introduced into the traditional FFCA to explore the influence of motion similarity (MS) perception of dual-exit bottleneck on passing efficiency. It is found that the MS perception works effectively when pedestrians move toward dual exits. The simulation shows that the entry restriction (i.e. partition fence) shortens the average passing time by forming a “transition area”. The phase transitions of specific outflow and crowd density under different fence lengths are investigated, to examine the effectiveness of partition fences in facilitating the usage efficiency of varying exits. The simulation is in accordance with a recent observation. These conclusions are summarized by a comprehensive assessment, which is applicable for practical improvement of dual-exit bottleneck.

Publisher

World Scientific Pub Co Pte Lt

Subject

Computational Theory and Mathematics,Computer Science Applications,General Physics and Astronomy,Mathematical Physics,Statistical and Nonlinear Physics

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