Optimization approaches for macroscopic emergency evacuation planning: A survey

Emergency evacuation planning is essential in disaster management. Numerous evacuation model and optimization algorithms have been developed and implemented for various types of emergencies mainly in natural and man-made disaster. This paper reviews such approaches focusing on macroscopic in emergen...

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發表在:Proceedings - International Symposium on Information Technology 2008, ITSim
主要作者: 2-s2.0-57349145324
格式: Conference paper
語言:English
出版: 2008
在線閱讀:https://www.scopus.com/inward/record.uri?eid=2-s2.0-57349145324&doi=10.1109%2fITSIM.2008.4631982&partnerID=40&md5=d8bacd297a2436add55489f85659d1c5
id Yusoff M.; Ariffin J.; Mohamed A.
spelling Yusoff M.; Ariffin J.; Mohamed A.
2-s2.0-57349145324
Optimization approaches for macroscopic emergency evacuation planning: A survey
2008
Proceedings - International Symposium on Information Technology 2008, ITSim
4

10.1109/ITSIM.2008.4631982
https://www.scopus.com/inward/record.uri?eid=2-s2.0-57349145324&doi=10.1109%2fITSIM.2008.4631982&partnerID=40&md5=d8bacd297a2436add55489f85659d1c5
Emergency evacuation planning is essential in disaster management. Numerous evacuation model and optimization algorithms have been developed and implemented for various types of emergencies mainly in natural and man-made disaster. This paper reviews such approaches focusing on macroscopic in emergency evacuation planning. The strength and weaknesses of algorithms and models are described. Variables considered in algorithms such as number of evacuee and evacuation time have been seen important to be applied to real evacuation scenario. Most of optimization algorithms demonstrate promising results in minimizing travelling time from the affected area to safety. Thus, algorithms should be enhanced to consider different scales of evacuation in different type of disasters. With the provision of efficient evacuation planning, it would help relevant authorities to reduce risk disaster management by offering a tool to support evacuation processes. © 2008 IEEE.


English
Conference paper

author 2-s2.0-57349145324
spellingShingle 2-s2.0-57349145324
Optimization approaches for macroscopic emergency evacuation planning: A survey
author_facet 2-s2.0-57349145324
author_sort 2-s2.0-57349145324
title Optimization approaches for macroscopic emergency evacuation planning: A survey
title_short Optimization approaches for macroscopic emergency evacuation planning: A survey
title_full Optimization approaches for macroscopic emergency evacuation planning: A survey
title_fullStr Optimization approaches for macroscopic emergency evacuation planning: A survey
title_full_unstemmed Optimization approaches for macroscopic emergency evacuation planning: A survey
title_sort Optimization approaches for macroscopic emergency evacuation planning: A survey
publishDate 2008
container_title Proceedings - International Symposium on Information Technology 2008, ITSim
container_volume 4
container_issue
doi_str_mv 10.1109/ITSIM.2008.4631982
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-57349145324&doi=10.1109%2fITSIM.2008.4631982&partnerID=40&md5=d8bacd297a2436add55489f85659d1c5
description Emergency evacuation planning is essential in disaster management. Numerous evacuation model and optimization algorithms have been developed and implemented for various types of emergencies mainly in natural and man-made disaster. This paper reviews such approaches focusing on macroscopic in emergency evacuation planning. The strength and weaknesses of algorithms and models are described. Variables considered in algorithms such as number of evacuee and evacuation time have been seen important to be applied to real evacuation scenario. Most of optimization algorithms demonstrate promising results in minimizing travelling time from the affected area to safety. Thus, algorithms should be enhanced to consider different scales of evacuation in different type of disasters. With the provision of efficient evacuation planning, it would help relevant authorities to reduce risk disaster management by offering a tool to support evacuation processes. © 2008 IEEE.
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language English
format Conference paper
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