SIMULATION OF PEDESTRIAN DYNAMIC USING A VECTOR FLOOR FIELD MODEL

Jun Yang (), Zhongsheng Hou and Minghui Zhan
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Jun Yang: Advanced Control Systems Laboratory, School of Electronics and Information Engineering, Beijing Jiaotong University, Beijing 100044, P. R. China;
Zhongsheng Hou: Advanced Control Systems Laboratory, School of Electronics and Information Engineering, Beijing Jiaotong University, Beijing 100044, P. R. China
Minghui Zhan: Beijing Metro Network Control Center, Beijing 100101, P. R. China

International Journal of Modern Physics C (IJMPC), 2013, vol. 24, issue 04, 1-16

Abstract: Simulation of complex scenarios and multi-direction pedestrian flow is a main challenge to microscopic model of pedestrian movement. It is an issue to simulate real pedestrian traffic with great fidelity while keeping its computational cost at an acceptable level. This paper reports on an improved floor field model called vector floor field model to simulate pedestrian flows in some basic scenarios. In this model, vectorization of static floor field and dynamic floor field are used to indicate preference directions and the pedestrian flow tendency, respectively. Pedestrian transition depends on both their preference directions and tendency. The simulations in some basic scenarios are conducted, quantitative comparison to the record of practical experiments and standard floor field model is given as well, and the results indicate the effectivity of this model. An adjusted static vector floor field is also proposed to simulate pedestrian flow in turning scenario. The vector floor field model is also sufficient to simulate some essential features in pedestrian dynamic, such as lane formation. This model can be widely used in the simulation of multi-direction pedestrian at turning, crossing and other junctions.

Keywords: Cellular automata model; vector floor field model; pedestrian dynamic; FF model; 11.25.Hf; 123.1K (search for similar items in EconPapers)
Date: 2013
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Citations: View citations in EconPapers (2)

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DOI: 10.1142/S012918311350023X

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