On the use of a pedestrian simulation model with natural behavior representation in metro stations

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review

7 Scopus Citations
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Author(s)

Detail(s)

Original languageEnglish
Pages (from-to)137-144
Journal / PublicationProcedia Computer Science
Volume52
Issue number1
Publication statusPublished - 2015

Conference

TitleThe International Conference on Ambient Systems, Networks and Technologies, ANT-2015, the International Conference on Sustainable Energy Information Technology, SEIT-2015
PlaceUnited Kingdom
CityLondon
Period2 - 5 June 2015

Link(s)

Abstract

Rapid urbanization in many large cities in China makes metro station an integral part of metropolitan people's daily life. High density of crowds in metro stations would cause serious congestion problems and pose threats to pedestrian safety. Because of the heterogeneous and complex properties of pedestrians, traditional approaches face difficulties in predicting future pedestrian flow patterns. The use of agent-based simulation approach makes it possible to naturally reproduce various pedestrian behaviors in different scenarios. This paper presented an agent-based microscopic pedestrian simulation model-CityFlow, which was proved to be flexible in revealing most important pedestrian behaviors in metro stations by several simulation cases. The model applications can provide implications in evaluation of design proposals of metro facilities.

Research Area(s)

  • CityFlow, Metro station, Natural behavior representation, Pedestrian simulation model

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