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

Shanmuganathan Vasanthapriyan, Selvarajah Thuseethan

Research output: Chapter in Book/Report/Conference proceedingConference Paper published in Proceedingspeer-review

Abstract

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.

Original languageEnglish
Title of host publicationProceedings - 2015 2nd International Symposium on Dependable Computing and Internet of Things, DCIT 2015
PublisherIEEE, Institute of Electrical and Electronics Engineers
Pages117-121
Number of pages5
ISBN (Electronic)9781509002900
DOIs
Publication statusPublished - 15 Mar 2016
Event2nd International Symposium on Dependable Computing and Internet of Things, DCIT 2015 - Wuhan, Hubei, China
Duration: 16 Nov 201519 Nov 2015

Publication series

NameProceedings - 2015 2nd International Symposium on Dependable Computing and Internet of Things, DCIT 2015

Conference

Conference2nd International Symposium on Dependable Computing and Internet of Things, DCIT 2015
Country/TerritoryChina
CityWuhan, Hubei
Period16/11/1519/11/15

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