Title
On the Use of a Pedestrian Simulation Model with Natural Behavior Representation in Metro Stations
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.
Year
DOI
Venue
2015
10.1016/j.procs.2015.05.048
Procedia Computer Science
Keywords
Field
DocType
pedestrian simulation model,natural behavior representation,metro station,CityFlow
Pedestrian flow,Crowds,Urbanization,Pedestrian,Computer security,Computer science,Transport engineering,High density,Multi-agent system,Artificial intelligence,Metropolitan area,Machine learning
Conference
Volume
ISSN
Citations 
52
1877-0509
2
PageRank 
References 
Authors
0.40
3
4
Name
Order
Citations
PageRank
W. L. Wang120.40
Siu-Ming Lo2457.09
S. B. Liu330.88
Jian Ma472.50