Name
Title | ||
|---|---|---|
Using Agent-based Simulation Model for Studying Fire Escape Process in Metro Stations. |
Abstract | ||
|---|---|---|
The Hong Kong Metro System has been operating for more than 30 years. With the increase in population, some of the stations are crowded in most time of a day. To facilitate the design and the alteration works for a station, the crowding and passenger movement pattern, especially the escape pattern in case of fire, should be studied. This article illustrated an agent-based people movement model, and a case targeting at the people movement pattern and egress process in a metro station has been studied. The simulation results demonstrate that the model is useful for assisting building designers to evaluate different design alternatives and to support fire safety performance studies. |
Year | DOI | Venue |
|---|---|---|
2014 | 10.1016/j.procs.2014.05.439 | Procedia Computer Science |
Keywords | Field | DocType |
Agent-based Model,People Movement,Evacuation | Population,Crowds,Agent-based model,Crowding,Simulation,Computer science,Transport engineering,Fire safety,Artificial intelligence,Fire escape,Machine learning | Conference |
Volume | ISSN | Citations |
32 | 1877-0509 | 1 |
PageRank | References | Authors |
0.48 | 3 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Siu-Ming Lo | 1 | 45 | 7.09 |
| Lin-Wang Wang | 2 | 141 | 16.72 |
| S. B. Liu | 3 | 3 | 0.88 |
| Jian Ma | 4 | 7 | 2.50 |