Prediction of Human Flow in Disaster Situations: A Multi-agent Based Modelling and Simulation
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Version 1 2020-05-26, 08:42Version 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
117-121Location
Wuhan, ChinaStart date
2015-11-16End date
2015-11-18ISBN-13
9781509002900Language
engPublication classification
E1.1 Full written paper - refereedTitle of proceedings
DCIT 2015 : Proceedings of the 2nd International Symposium on Dependable Computing and Internet of ThingsEvent
Dependable Computing and Internet of Things. Symposium (2015 : 2nd : Wuhan, China)Publisher
IEEEPlace of publication
Piscataway, N.J.Usage metrics
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