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To simulate the passenger behavior in subway system, a Dynamic Parameters Cellular Automaton (DPCA) model is put forward in this paper. Pedestrian traffic flows during waiting, getting on or off, and traveling can be simulated. The typical scenario in Beijing Subway Line 13 is modeled to analyze the passenger behavior in subway system. By comparing simulation results with statistical ones, the correctness and practicality of the DPCA model are verified. At last, the additional results made by DPCA model can make contribution to passenger comfort analysis and pedestrian facility planning and guidance.


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Dynamic Parameters Cellular Automaton Model for Passengers in Subway

Show Author's information Yichen ZhengXiangyu XiYifan ZhuangYi Zhang( )
Department of Automation, Tsinghua National Laboratory for Information Science and Technology (TN List), Tsinghua University, Beijing 100084, China.
National Engineering Research Center of Software Engineering, Peking University, Beijing 100084, China. This work was done during his study at Tsinghua University.

Abstract

To simulate the passenger behavior in subway system, a Dynamic Parameters Cellular Automaton (DPCA) model is put forward in this paper. Pedestrian traffic flows during waiting, getting on or off, and traveling can be simulated. The typical scenario in Beijing Subway Line 13 is modeled to analyze the passenger behavior in subway system. By comparing simulation results with statistical ones, the correctness and practicality of the DPCA model are verified. At last, the additional results made by DPCA model can make contribution to passenger comfort analysis and pedestrian facility planning and guidance.

Keywords: pedestrian stream, subway, cellular automaton, dynamic parameter, passenger behavior

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Publication history

Received: 18 February 2015
Revised: 25 May 2015
Accepted: 08 July 2015
Published: 17 December 2015
Issue date: December 2015

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© The author(s) 2015

Acknowledgements

This work was partially supported by the National Key Basic Research and Development (973) Program of China (No. 2012CB725405), the National High-Tech Research and Development (863) Program of China (No. 2012AA112305), and the National Natural Science Foundation of China (No. 61273238).

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