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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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
id 2-s2.0-54249148218
spelling 2-s2.0-54249148218
Yusoff M.; Ariffin J.; Mohamed A.
Vehicle priority selection algorithm for evacuation planning
2008
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
5072 LNCS
PART 1
10.1007/978-3-540-69839-5_94
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
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.

16113349
English
Conference paper

author Yusoff M.; Ariffin J.; Mohamed A.
spellingShingle Yusoff M.; Ariffin J.; Mohamed A.
Vehicle priority selection algorithm for evacuation planning
author_facet Yusoff M.; Ariffin J.; Mohamed A.
author_sort Yusoff M.; Ariffin J.; Mohamed A.
title Vehicle priority selection algorithm for evacuation planning
title_short Vehicle priority selection algorithm for evacuation planning
title_full Vehicle priority selection algorithm for evacuation planning
title_fullStr Vehicle priority selection algorithm for evacuation planning
title_full_unstemmed Vehicle priority selection algorithm for evacuation planning
title_sort Vehicle priority selection algorithm for evacuation planning
publishDate 2008
container_title Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
container_volume 5072 LNCS
container_issue PART 1
doi_str_mv 10.1007/978-3-540-69839-5_94
url 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
description 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.
publisher
issn 16113349
language English
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