Modelling Passenger Evacuation from Metro Platforms Considering Passenger Flow Guidance and Small Group Behaviour

LI Fang; DI Yue; CHEN Shaokuan; JIA Wenzheng

doi:10.3969/j.issn.0258-2724.20170668

Volume 54 Issue 3

Jun. 2019

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Journal of Southwest Jiaotong University > 2019 > 54(3): 587-594.

LI Fang, DI Yue, CHEN Shaokuan, JIA Wenzheng. Modelling Passenger Evacuation from Metro Platforms Considering Passenger Flow Guidance and Small Group Behaviour[J]. Journal of Southwest Jiaotong University, 2019, 54(3): 587-594. doi: 10.3969/j.issn.0258-2724.20170668

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LI Fang, DI Yue, CHEN Shaokuan, JIA Wenzheng. Modelling Passenger Evacuation from Metro Platforms Considering Passenger Flow Guidance and Small Group Behaviour[J]. Journal of Southwest Jiaotong University, 2019, 54(3): 587-594. doi: 10.3969/j.issn.0258-2724.20170668

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Modelling Passenger Evacuation from Metro Platforms Considering Passenger Flow Guidance and Small Group Behaviour

doi: 10.3969/j.issn.0258-2724.20170668

LI Fang^{1,2
,},
DI Yue³,
CHEN Shaokuan^{1
,
,},
JIA Wenzheng⁴

Received Date: 21 Sep 2017
Rev Recd Date: 24 May 2018

Available Online: 11 Jul 2018

Publish Date: 01 Jun 2019

Abstract

Abstract

Passenger flow guidance and small group behaviour during the actual evacuation process in metro stations greatly affect the behaviours of individual passengers and the evacuation result. To make a better simulation on the actual evacuation situation, the social force model was explored, which can take into account passenger flow guidance and small group behaviour. The model was modified by analysing the influence of passenger flow guidance and small group behaviour on the expected velocity of passengers. A multi-agent technique that involves realistic perception and decision processes was employed to develop a model for simulating passenger evacuation from a metro platform. Xizhimen metro station in Beijing was used as a case study object to verify the proposed model. Results indicate that both passenger flow guidance and small group behaviour have obvious effects on the evacuation time and efficiency, bottleneck areas, and detour distances. Passenger flow guidance increases the evacuation efficiency by 18%-45% and small group behaviour leads to an increase of 17% in the detour distance.
- urban rail transit,
- passenger evacuation,
- social force model,
- passenger flow guidance,
- small group behaviour

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References

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

YANG Bo, WANG Cheng, HUANG Hua, et al. A multi-agent and PSO based simulation for human behavior in emergency evacuation[C]//International Conference on Computational Intelligence and Security, Harbin: IEEE Computer SOC, 2007: 296-300

JOHANSSON A, HELBING D, SHUKLA P K, et al. Specification of a microscopic pedestrian model by evolutionary adjustment to video tracking data[J]. Advances in Complex Systems, 2007, 10(S2): 271-288.

JEON G Y, KIM J Y, HONG W H, et al. Evacuation performance of individuals in different visibility conditions[J]. Building and Environment, 2011, 46: 1094-1103. doi: 10.1016/j.buildenv.2010.11.010

FRUIN J J. Pedestrian planning and design[J]. Metropolitan Association of Urban Designers & Environmental Planners, 1971, 77(4): 556-561.

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.

陈绍宽,李思悦,洪倩,等. 地铁车站内乘客疏散时间计算方法研究[J]. 交通运输系统工程与信息,2008,8(4): 101-107. doi: 10.3969/j.issn.1009-6744.2008.04.015

CHEN Shaokuan, LI Siyue, HONG Qian, et al. Modeling evacuation time for passengers from metro platforms[J]. Journal of Transportation Systems Engineering and Information Technology, 2008, 8(4): 101-107. doi: 10.3969/j.issn.1009-6744.2008.04.015

李逊,洪玲,徐瑞华. 轨道交通车站应急疏散乘客心理行为影响因素分析[J]. 城市轨道交通研究,2012,15(4): 54-57. doi: 10.3969/j.issn.1007-869X.2012.04.014

LI Xun, HONG Ling, XU Ruihua. Influential factors of passengers' psychology and behavior on subway station emergency evacuation[J]. Urban Mass Transit, 2012, 15(4): 54-57. doi: 10.3969/j.issn.1007-869X.2012.04.014

刘雯丽. 城市轨道交通车站客流紧急疏散仿真研究[D]. 成都: 西南交通大学, 2013

邢云磊. 大型客运站应急疏散客流组织动态仿真方法的研究[D]. 北京: 北京交通大学, 2010

陈绍宽,刘爽,肖雄,等. 基于M/G/c/c模型的地铁车站楼梯通道疏散能力瓶颈分析研究[J]. 铁道学报,2013,34(1): 7-12.

CHEN Shaokuan, 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, 2013, 34(1): 7-12.

PREDTECHENSKII V M, MILINSKII A I. Planning for foot traffic flow in buildings[M]. New Delhi: Amerind Publishing Co. Pvt. Ltd., 1978: 1-240

代伟. 群集应急疏散影响因素及时间模型研究[D]. 长沙: 中南大学, 2012

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