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Prediction of Human Flow in Disaster Situations: A Multi-agent Based Modelling and Simulation

Version 2 2024-06-06, 10:39
Version 1 2020-05-26, 08:42
conference contribution
posted on 2024-06-06, 10:39 authored by S Vasanthapriyan, T Selvarajah
© 2015 IEEE. Simulation of human flow in virtual reality systemplays an important part in the research of microscopic humanflow behaviour in disaster situations. But developing such simulationis a difficult work because of its inherent complexity. In thispaper, we proposed a multi-agent simulation to analyze humanflow characteristics in disaster affected area and the interactionmechanism among human or between human and affected areaduring the time of disaster. Especially, we had a close look at thebehaviours which influence the human flow for collision avoidanceand flow of victims in disaster situations. As a result, the humanflow has been derived and it helps to reduce the amount of damageduring the disaster situations. The derived output of the modeland simulation is flexible and can be used in different conditionsfor any kinds of analysis.

History

Pagination

117-121

Location

Wuhan, China

Start date

2015-11-16

End date

2015-11-18

ISBN-13

9781509002900

Language

eng

Publication classification

E1.1 Full written paper - refereed

Title of proceedings

DCIT 2015 : Proceedings of the 2nd International Symposium on Dependable Computing and Internet of Things

Event

Dependable Computing and Internet of Things. Symposium (2015 : 2nd : Wuhan, China)

Publisher

IEEE

Place of publication

Piscataway, N.J.

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