• ISSN 0258-2724
  • CN 51-1277/U
  • EI Compendex
  • Scopus
  • Indexed by Core Journals of China, Chinese S&T Journal Citation Reports
  • Chinese S&T Journal Citation Reports
  • Chinese Science Citation Database
Volume 54 Issue 3
Jun.  2019
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Article Contents
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
Citation: 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

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

doi: 10.3969/j.issn.0258-2724.20170668
  • Received Date: 21 Sep 2017
  • Rev Recd Date: 24 May 2018
  • Available Online: 11 Jul 2018
  • Publish Date: 01 Jun 2019
  • 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.

     

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