Effect of high-speed train interior space on passenger evacuation using simulation methods

Abstract This paper uses a simulation method to study the effect of the interior space of trains on evacuations. First, this paper presents the experimental method and verifies the effectiveness of using simulation models to simulate the evacuation process of train passengers. A factorial design of experiments is employed to study the effect of the interior space on evacuation. The interior space factors that are studied include door width, aisle width, and seat pitch. The main effects and interaction effects of these factors are analyzed using a regression model. The validation results show that the simulation model is suitable for train evacuation research. The experimental results show that the seat pitch and the interaction of the seat pitch and the aisle width impact the evacuation time. Moreover, a reasonable door width has no effect on evacuations.

[1]  Takashi Nagatani,et al.  Evacuation of crawlers and walkers from corridor through an exit , 2006 .

[2]  John K Pollard,et al.  Passenger train emergency systems : review of egress variables and egress simulation models. , 2013 .

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

[4]  Bing-Hong Wang,et al.  Simulation of evacuation processes using a multi-grid model for pedestrian dynamics , 2006 .

[5]  Christian Lebeda,et al.  Full-Scale Evacuation Experiments in a smoke filled Rail Carriage — a detailed study of passenger behaviour under reduced visibility , 2007 .

[6]  Frederico R. B. Cruz,et al.  Approximate analysis of M/G/c/c state-dependent queueing networks , 2007, Comput. Oper. Res..

[7]  Hairong Dong,et al.  Modeling and simulation of pedestrian dynamical behavior based on a fuzzy logic approach , 2016, Inf. Sci..

[8]  Serge P. Hoogendoorn,et al.  Free speed distributions — Based on empirical data in different traffic conditions , 2007 .

[9]  Kevin Dopart,et al.  Project staff , 2017, The Work.

[10]  Edwin R. Galea,et al.  Passenger train emergency systems: development of prototype railEXODUS software for U.S. passenger rail car egress , 2014 .

[11]  Hang Ji,et al.  Selfishness- and Selflessness-based models of pedestrian room evacuation , 2016 .

[12]  Jin-Hyoung Park,et al.  Establishing the methodologies for human evacuation simulation in marine accidents , 2004, Comput. Ind. Eng..

[13]  Idel Montalvo,et al.  Forecasting pedestrian evacuation times by using swarm intelligence , 2009 .

[14]  Claire Marrison,et al.  Effects of Motivation and Cabin Configuration on Emergency Aircraft Evacuation Behavior and Rates of Egress , 1996 .

[15]  Dirk Helbing,et al.  Simulating dynamical features of escape panic , 2000, Nature.

[16]  Nirajan Shiwakoti,et al.  Passengers' awareness and perceptions of way finding tools in a train station , 2016 .

[17]  Hong Liu,et al.  Crowd evacuation simulation approach based on navigation knowledge and two-layer control mechanism , 2018, Inf. Sci..

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

[19]  Ricard V. Solé,et al.  Collective behavior of random-activated mobile cellular automata , 1993 .

[20]  Cynthia L Corbett,et al.  Access-To-Egress III: Repeated Measurement of Factors that Control the Emergency Evacuation of Passengers Through the Transport Airplane Type-III Overwing Exit , 2004 .

[21]  Siuming Lo,et al.  An evacuation model: the SGEM package , 2004 .

[22]  Daniel Nilsson,et al.  Fire Evacuation in Underground Transportation Systems: A Review of Accidents and Empirical Research , 2013 .

[23]  Lin Liu,et al.  Simulation of pedestrian counter flow through bottlenecks by using an agent-based model , 2013 .

[24]  Dong Zhang,et al.  Study on evacuation behaviors at a T-shaped intersection by a force-driving cellular automata model , 2012 .

[25]  C. Dorso,et al.  Microscopic dynamics of pedestrian evacuation , 2005 .

[26]  MariAnne Karlsson,et al.  Application of agent based simulation for evaluating a bus layout design from passengers’ perspective , 2014 .

[27]  Kai Kang,et al.  Application of Code Approach for Emergency Evacuation in a Rail Station , 2007 .

[28]  Abdellah El Moudni,et al.  A hybrid Petri nets-based simulation model for evaluating the design of railway transit stations , 2007, Simul. Model. Pract. Theory.

[29]  Wang Bing-Hong,et al.  Evacuation behaviors at exit in CA model with force essentials: A comparison with social force model , 2006 .

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

[31]  Zhang Qi,et al.  Modeling and simulation of passenger alighting and boarding movement in Beijing metro stations , 2008 .

[32]  Jiangang Shi,et al.  Application of Pedestrian Simulation in Olympic Games , 2008 .

[33]  Mohcine Chraibi,et al.  Measuring the steady state of pedestrian flow in bottleneck experiments , 2016 .

[34]  John K Pollard,et al.  Passenger Train Emergency Systems: Single-Level Commuter Rail Car Egress Experiments , 2015 .

[35]  R. Colombo,et al.  Pedestrian flows and non‐classical shocks , 2005 .

[36]  Edwin R. Galea,et al.  Estimating the flow rate capacity of an overturned rail carriage end exit in the presence of smoke , 2000 .

[37]  Hai-Jun Huang,et al.  A mobile lattice gas model for simulating pedestrian evacuation , 2008 .