Vehicle priority selection algorithm for evacuation planning

For decades, numerous types of disasters have drawn an array of evacuation planning approaches to support evacuation processes with the objective to minimize total evacuation time. This paper focuses on the construction of optimization evacuation route planning method considering routes and capacity...

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Bibliographic Details
Published in:Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Main Author: Yusoff M.; Ariffin J.; Mohamed A.
Format: Conference paper
Language:English
Published: 2008
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-54249148218&doi=10.1007%2f978-3-540-69839-5_94&partnerID=40&md5=2b650e160d9fe43780294b66ad5a958a
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Summary:For decades, numerous types of disasters have drawn an array of evacuation planning approaches to support evacuation processes with the objective to minimize total evacuation time. This paper focuses on the construction of optimization evacuation route planning method considering routes and capacity of vehicles. Vehicle Priority Selection (VPS) algorithm was constructed. The formulation of algorithms is based on case study for inundated areas within Kuala Lumpur, Malaysia. Experiments were done on the VPS and the improved VPS algorithm. The improved VPS with prioritize vehicle capacity demonstrates better results compared to other algorithms. It is shown to be applicable for multiple source nodes and large number of evacuees. © 2008 Springer-Verlag Berlin Heidelberg.
ISSN:16113349
DOI:10.1007/978-3-540-69839-5_94