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.

ZHAO Yana, YU Zhixiang, ZHAO Shichun. Ring-Net Subdivision Equivalent Model of Flexible Protection System[J]. Journal of Southwest Jiaotong University, 2019, 54(4): 808-815. doi: 10.3969/j.issn.0258-2724.20170949

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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

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