PEDESTRIAN DYNAMICS IN A TWO-DIMENSIONAL COMPLEX SCENARIO USING A LOCAL VIEW FLOOR FIELD MODEL

Jia-Bei Zeng (), Biao Leng (), Zhang Xiong () and Zheng Qin ()
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Jia-Bei Zeng: State Key Laboratory of Software Development Environment, School of Computer Science and Engineering, Beihang University, Beijing 100191, P. R. China;
Biao Leng: State Key Laboratory of Software Development Environment, School of Computer Science and Engineering, Beihang University, Beijing 100191, P. R. China;
Zhang Xiong: State Key Laboratory of Software Development Environment, School of Computer Science and Engineering, Beihang University, Beijing 100191, P. R. China;
Zheng Qin: Department of Computer Science and Technology, Tsinghua University, Beijing 100084, P. R. China

International Journal of Modern Physics C (IJMPC), 2011, vol. 22, issue 08, 775-803

Abstract: In this paper, an extended FF model (floor field model) to simulate pedestrian dynamics in complex scenarios is proposed. Considering that pedestrians are unaware of the global view of traffic path, we introduce pedestrians' local views and propose a framework to change a pedestrian's static floor field each time they enter a new convex area. A pedestrian's view is limited to a convex polygon. When they travel from one convex area to another, they make decisions about the next goal according to the distances between them and the candidate goals, as well as densities of capacity and herding behaviors. Meanwhile, after making an initial decision about the next goal, a pedestrian can estimate the travel time to reach each visible goal and change their path adaptively within the convex area. Simulations in two scenarios are conducted and the results show that pedestrians under local views behave more practically than those under global views in complex scenarios. Parameter settings are also discussed along with suggestions that can be given to designers for improving traffic management.

Keywords: Cellular automata model; floor field model; local view; pedestrian dynamics; complex scenario; 11.25.Hf; 123.1K (search for similar items in EconPapers)
Date: 2011
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Citations: View citations in EconPapers (8)

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DOI: 10.1142/S0129183111016610

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