Modeling pedestrian movement at the hall of high-speed railway station during the check-in process

With the rapid development of high speed railway (HSR), the pedestrians at HSR station have been very crowded since the demand of passengers rapidly increases. In this paper, we use a cellular automaton (CA) model to study the passengers’ motion at the hall of HSR station during the check-in process. The simulation results show that the passenger’s arrival rate in the hall and the service efficiency of ticket barrier have significant effects on the complex phenomena occurring in the hall, the boarding efficiency and the number of passengers in the hall during the check-in process. The simulation results can help readers to better understand the passengers’ motion behaviors, the complex phenomena occurring in the hall during the check-in process, and what factors influence the boarding efficiency.

[1]  Hideki Nakamura,et al.  Application of social force model to pedestrian behavior analysis at signalized crosswalk , 2014 .

[2]  Arthur P.J. Mol,et al.  Public protests against the Beijing–Shenyang high-speed railway in China , 2016 .

[3]  Dirk Helbing.  A Fluid-Dynamic Model for the Movement of Pedestrians , 1992, Complex Syst..

[4]  Li Jian,et al.  Simulation of bi-direction pedestrian movement in corridor , 2005 .

[5]  Dung-Ying Lin,et al.  Using Genetic Algorithms to Optimize Stopping Patterns for Passenger Rail Transportation , 2014, Comput. Aided Civ. Infrastructure Eng..

[6]  Jian Li,et al.  Simulation of the kin behavior in building occupant evacuation based on Cellular Automaton , 2005 .

[7]  David M Levinson,et al.  Accessibility Impacts of High Speed Rail , 2012 .

[8]  Katsuhiro Nishinari,et al.  Simulation for pedestrian dynamics by real-coded cellular automata (RCA) , 2007 .

[9]  Wei Wei,et al.  The impact of personality on driving safety among Chinese high-speed railway drivers. , 2016, Accident; analysis and prevention.

[10]  Sophie Masson,et al.  Can the high speed rail reinforce tourism attractiveness? The case of the high speed rail between Perpignan (France) and Barcelona (Spain) , 2009 .

[11]  Dirk Helbing,et al.  Self-Organizing Pedestrian Movement , 2001 .

[12]  Andrew Ryder,et al.  High speed rail , 2012 .

[13]  L. F. Henderson.  On the fluid mechanics of human crowd motion , 1974 .

[14]  T. Vicsek,et al.  Simulation of pedestrian crowds in normal and evacuation situations , 2002 .

[15]  T. Nagatani,et al.  Scaling behavior of crowd flow outside a hall , 2001 .

[16]  Te-Wei Chiang,et al.  Knowledge-Based System for Railway Scheduling , 1998, Data Knowl. Eng..

[17]  Hai-Jun Huang,et al.  A modified floor field cellular automata model for pedestrian evacuation simulation , 2008 .

[18]  Xuesong Jin,et al.  Study on safety boundary for high-speed train running in severe environments , 2013 .

[19]  José Rogan,et al.  Cellular automaton model for evacuation process with obstacles , 2007 .

[20]  Fabián A. Chudak,et al.  Design of a Railway Scheduling Model for Dense Services , 2009 .

[21]  Hai-Jun Huang,et al.  Static floor field and exit choice for pedestrian evacuation in rooms with internal obstacles and multiple exits. , 2008, Physical review. E, Statistical, nonlinear, and soft matter physics.

[22]  Juan Zhang,et al.  Study on bi-direction pedestrian flow using cellular automata simulation , 2010 .

[23]  Helbing,et al.  Social force model for pedestrian dynamics. , 1995, Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics.

[24]  Kiyoharu Takagi.  Development of high-speed railways in China , 2011 .

[25]  Victor J. Blue,et al.  Cellular automata microsimulation for modeling bi-directional pedestrian walkways , 2001 .

[26]  Shing Chung Josh Wong,et al.  Route choice in pedestrian evacuation under conditions of good and zero visibility: Experimental and simulation results , 2012 .

[27]  Michael Schreckenberg,et al.  Simulation of competitive egress behavior: comparison with aircraft evacuation data , 2003 .

[28]  S. Levy.  Artificial life: the quest for a new creation , 1992 .

[29]  Javier Campos,et al.  A review of HSR experiences around the world , 2007 .

[30]  Andreas Schadschneider,et al.  Simulation of evacuation processes using a bionics-inspired cellular automaton model for pedestrian dynamics , 2002 .

[31]  Shifeng Wang,et al.  Optimizing train stopping patterns and schedules for high-speed passenger rail corridors , 2016 .

[32]  A. Schadschneider,et al.  Simulation of pedestrian dynamics using a two dimensional cellular automaton , 2001 .

[33]  Maria Davidich,et al.  Waiting zones for realistic modelling of pedestrian dynamics: A case study using two major German railway stations as examples , 2013 .

[34]  Abdullah Zawawi Talib,et al.  Modeling Groups of Pedestrians in Least Effort Crowd Movements Using Cellular Automata , 2009, 2009 Third Asia International Conference on Modelling & Simulation.

[35]  T. Nagatani,et al.  Jamming transition in pedestrian counter flow , 1999 .

[36]  D. Helbing,et al.  Lattice gas simulation of experimentally studied evacuation dynamics. , 2003, Physical review. E, Statistical, nonlinear, and soft matter physics.