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...
Published in: | Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) |
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2008
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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. |
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issn |
16113349 |
language |
English |
format |
Conference paper |
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record_format |
scopus |
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Scopus |
_version_ |
1812871802424131584 |