CHEN Shao-kuan, DI Yue, LI Fang, XU Qi, LIU Hai-dong. Passenger evacuation model of metro platform considering psychological stress[J]. Journal of Traffic and Transportation Engineering, 2017, 17(5): 113-120.
Citation: CHEN Shao-kuan, DI Yue, LI Fang, XU Qi, LIU Hai-dong. Passenger evacuation model of metro platform considering psychological stress[J]. Journal of Traffic and Transportation Engineering, 2017, 17(5): 113-120.

Passenger evacuation model of metro platform considering psychological stress

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  • Author Bio:

    CHEN Shao-kuan(1977-), male, professor, PhD, shkchen@bjtu.edu.cn

  • Received Date: 2017-05-01
  • Publish Date: 2017-10-25
  • The effects of psychological stress from emergencies on metro platform on the evacuation behaviors of passengers were analyzed. The numerical relationship between psychological stress and retention time, local density, distance of hazard was built.The expected velocity of evacuation under psychological stress was researched, a modified expectation velocity model was developed, and the social force model was modified.Aiming at the evacuation process of passengers on the platform, a multi-agent perception and decision-making flow was designed.An evacuation simulation model based on multi-agent technology was built, and the whole process from the reception of evacuation signals to the evacuation completion for passengers was abstractly dealt with.AnyLogic simulation software was used to build the simulation case, the built models were imported into the simulation software by interface means, and the evacuationbehaviors of passengers were studied based on the Xizhimen Platform in Beijing Metro Line 2.Simulation result shows that the psychological stress has large effect on the evacuation time, evacuation velocity, passenger density and detour distance.The passengers'evacuation efficiency with psychological stress increases by 24.03%than that without psychological stress, the average total evacuation time reduces by 27.68%, and the average evacuation times in stair region and connecting region reduce by 36.20% and 22.05%, respectively.The passengers'average evacuation velocity with psychological stress in stair region is about 0.226 m·s-1, and the velocity without psychological stress is 0.351 m ·s-1.The highest gathering density in connecting region with psychological stress is 8.0 passenger· m-2, while the density is9.5 passenger·m-2 without psychological stress.The highest gathering density in stair region is3.5 passenger·m-2.The detour distance with psychological stress increases by 96.91% than that without psychological stress, and the movement of passengers with psychological stress is more chaotic.

     

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  • [1]
    LIU Xiao-ming, HU Hong. Research status and prospect of emergency transportation evacuation[J]. Journal of Traffic and Transportation Engineering, 2008, 8 (3): 108-115, 121. (in Chinese). doi: 10.3321/j.issn:1671-1637.2008.03.023
    [2]
    HOOGENDOORN S P, DAAMEN W. Pedestrian behavior at bottlenecks[J]. Transportation Science, 2005, 39 (2): 147-159. doi: 10.1287/trsc.1040.0102
    [3]
    SEYFRIED A, RUPPRECHT T, PASSON O, et al. New insights into pedestrian flow through bottlenecks[J]. Transportation Science, 2009, 43 (3): 395-406. doi: 10.1287/trsc.1090.0263
    [4]
    HENDERSON L F, LYONS D J. Sexual differences in human crowd motion[J]. Nature, 1972, 240: 353-355. doi: 10.1038/240353a0
    [5]
    YANG L Z, ZHAO D L, LI J, et al. Simulation of the kin behavior in building occupant evacuation based on Cellular Automaton[J]. Building and Environment, 2005, 40 (3): 411-415. doi: 10.1016/j.buildenv.2004.08.005
    [6]
    LI Qi, WANG Ming-nian, YU Li. Experimental study on evacuation under fire mode in long and large railway tunnel[J]. China Railway Sciences, 2015, 36 (6): 78-84. (in Chinese). doi: 10.3969/j.issn.1001-4632.2015.06.11
    [7]
    WANG Xiu-dan, CHEN Shao-kuan, ZHOU Yang-fan, et al. Simulation on passenger evacuation under fire emergency in metro station[C]//IEEE. 2013IEEE International Conference on Intelligent Rail Transportation Proceedings. New York: IEEE, 2013: 259-262.
    [8]
    ZHANG Shu-ping. Study on human behaviour in building fire[D]. Xi'an: Xi'an University of Architecture and Technology, 2004. (in Chinese).
    [9]
    SHIELDS T J, PROULX G. The science of human behavior: past research endeavours, current developments and fashioning a research agenda[C]//CURTAT M. Proceedings of the 6th International Symposium on Fire Safety Science. Amsterdam: Elsevier, 2000: 95-114.
    [10]
    HELBING D, BUZNA L, JOHANSSON A, et al. Self-organized pedestrian crowd dynamics: experiments, simulations, and design solutions[J]. Transportation Science, 2005, 39 (1): 1-24. doi: 10.1287/trsc.1040.0108
    [11]
    HENDERSON L F. On the fluid mechanics of human crowd motion[J]. Transportation Research, 1974, 8 (6): 509-515. doi: 10.1016/0041-1647(74)90027-6
    [12]
    HUGHES R L. A continuum theory for the flow of pedestrians[J]. Transportation Research Part B: Methodological, 2002, 36 (6): 507-535. doi: 10.1016/S0191-2615(01)00015-7
    [13]
    OKAZAKI S, MATSUSHITA S. A study of simulation model for pedestrian movement with evacuation and queuing[C]//SMITH R A, DICKIE J F. Proceedings of the International Conference on Engineering for Crowd Safety. Amsterdam: Elsevier, 1993.
    [14]
    YANG Bo, WANG Cheng, HUANG Hua, et al. A multi-agent and PSO based simulation for human behavior in emergency evacuation[C]//IEEE. 2007 International Conference on Computational Intelligence and Security. New York: IEEE, 2007: 296-300.
    [15]
    BLUE V J, ADLER J L. Emergent fundamental pedestrian flows from cellular automata microsimulation[J]. Transportation Research Record, 1998 (1644): 29-36.
    [16]
    FRUIN J J. Pedestrian Planning and Design[M]. New York: Metropolitan Association of Urban Designers and Environmental Planners, 1971.
    [17]
    HELBING D, JOHANSSON A, MATHIESEN J, et al. Analytical approach to continuous and intermittent bottleneck flows[J]. Physical Review Letters, 2006, 97 (16): 1-4.
    [18]
    MOU Rui-fang, YANG Rui, WANG Lie-ni. Study on simulation model of public place evacuation in a familiar environment[J]. Journal of Safety Science and Technology, 2015, 11 (5): 181-186. (in Chinese). https://www.cnki.com.cn/Article/CJFDTOTAL-LDBK201505033.htm
    [19]
    LI Xun, HONG Ling, XU Rui-hua. Influential factors of passengers'psychology and behavior on subway station emergency evacuation[J]. Urban Mass Transit, 2012 (4): 54-57. (in Chinese). doi: 10.3969/j.issn.1007-869X.2012.04.014
    [20]
    ITO Y. Representation of functions by superpositions of a step or sigmoid function and their applications to neural network theory[J]. Neural Networks, 1991, 4 (3): 385-394. doi: 10.1016/0893-6080(91)90075-G
    [21]
    KHOLSHEVNIKOV V V, SHIELDS T J, BOYCE K E, et al. Recent developments in pedestrian flow theory and research in Russia[J]. Fire Safety Journal, 2008, 43 (2): 108-118. doi: 10.1016/j.firesaf.2007.05.005
    [22]
    SHIELDS T J, BOYCE K E, SILCOCK G W H. Towards the characterization of large retail stores[J]. Fire and Materials, 1999, 23 (6): 325-331. doi: 10.1002/(SICI)1099-1018(199911/12)23:6<325::AID-FAM706>3.0.CO;2-0
    [23]
    LI Fang, CHEN Shao-kuan, WANG Xiu-dan, et al. Pedestrian evacuation modeling and simulation on metro platforms considering panic impacts[J]. Procedia-Social and Behavioral Sciences, 2014, 138: 314-322. doi: 10.1016/j.sbspro.2014.07.209
    [24]
    CHEN Shao-kuan, LI Si-yue, LI Xue, et al. Modeling evacuation time for passengers from metro platform[J]. Journal of Transportation Systems Engineering and Information Technology, 2008, 8 (4): 101-107. (in Chinese). doi: 10.3969/j.issn.1009-6744.2008.04.015
    [25]
    CHEN Shao-kuan, LIU Shuang, XIAO Xiong, et al. M/G/c/c-based model of passenger evacuation capacity of stairs and corridors in metro stations[J]. Journal of the China Railway Society, 2012, 34 (1): 7-12. (in Chinese). doi: 10.3969/j.issn.1001-8360.2012.01.002
    [26]
    PREDTECHENSKII V M, MILINSKII A I. Planning for Foot Traffic Flow in Buildings[M]. New Delhi: Amerind Publishing Co. Pvt. Ltd., 1983.
    [27]
    HONG Ling, XU Rui-hua, DUAN Xiao-ying. Emergency evacuation model of urban rail transit station based on dynamic switching pattern[J]. Journal of Tongji University: Natural Science, 2016, 44 (1): 87-94. (in Chinese). doi: 10.3969/j.issn.1009-3060.2016.01.011
    [28]
    QIN Wen-hu, ZHA Jun-yuan, SU Guo-hui, et al. Study on simulating technology of crowd evacuation behaviors[J]. China Safety Science Journal, 2008, 18 (2): 22-27. (in Chinese). doi: 10.3969/j.issn.1003-3033.2008.02.004
    [29]
    LAKOBA T I, KAUP D J, FINKEISTEIN N M. Modifications of the Helbing-Molnár-Farkas-Vicsek social force model for pedestrian evolution[J]. Simulation, 2005, 81 (5): 339-352. doi: 10.1177/0037549705052772
    [30]
    CHEN Jian-hong, YANG Li-bing. The simulation and imitating of pedestrians evacuation in fire based AnyLogic in underground room[J]. Fire Science, 2007 (4): 72-76. (in Chinese).

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