On the use of a pedestrian simulation model with natural behavior representation in metro stations
Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Author(s)
Related Research Unit(s)
Detail(s)
Original language | English |
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Pages (from-to) | 137-144 |
Journal / Publication | Procedia Computer Science |
Volume | 52 |
Issue number | 1 |
Publication status | Published - 2015 |
Conference
Title | The International Conference on Ambient Systems, Networks and Technologies, ANT-2015, the International Conference on Sustainable Energy Information Technology, SEIT-2015 |
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Place | United Kingdom |
City | London |
Period | 2 - 5 June 2015 |
Link(s)
DOI | DOI |
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Attachment(s) | Documents
Publisher's Copyright Statement
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Link to Scopus | https://www.scopus.com/record/display.uri?eid=2-s2.0-84939199321&origin=recordpage |
Permanent Link | https://scholars.cityu.edu.hk/en/publications/publication(f8f14fb4-ac2a-4922-85c8-b32075b756c7).html |
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
Citation Format(s)
On the use of a pedestrian simulation model with natural behavior representation in metro stations. / Wang, W. L.; Lo, S. M.; Liu, S. B. et al.
In: Procedia Computer Science, Vol. 52, No. 1, 2015, p. 137-144.
In: Procedia Computer Science, Vol. 52, No. 1, 2015, p. 137-144.
Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
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