Effective evacuation route planning algorithms by updating earliest arrival time of multiple paths

Manki Min, Jonguk Lee, Sunho Lim
{"title":"Effective evacuation route planning algorithms by updating earliest arrival time of multiple paths","authors":"Manki Min, Jonguk Lee, Sunho Lim","doi":"10.1145/2675316.2675326","DOIUrl":null,"url":null,"abstract":"More and more natural disasters are happening around the globe and in such urgent situations, effective evacuation planning is one of the most critical tools for human safety. Evacuation planning algorithms are different from traditional network routing algorithms in the sense that the objective is to minimize the time when the last evacuee arrives at the destination. Among the existing evacuation planning algorithms, CCRP++ finds good solutions but its computation time is not scalable in terms of the number of the evacuees. In addition, in order to improve the computation time from the base algorithm CCRP, CCRP++ makes non-global up-date of earliest arrival time of each source node which results in unnecessarily large evacuation time.\n In this paper we investigated the two factors (evacuation time and computation time) of CCRP++ and proposed three algorithms, DMP, SMP, and EET, that significantly improve both factors. All four algorithms take the transportation network as the input and output the complete evacuation scenarios in which individualized evacuation plan for each evacuee is determined. Our first algorithm DMP significantly reduces the number of the shortest path findings during the evacuation iteration which is the main reason of large computation time of CCRP++. In addition, by updating the earliest arrival time of each found path efficiently, the evacuation time of DMP output is on average reduced compared to that of CCRP++ output. Our second algorithm SMP further reduces the computation time by first finding the limited number of shortest paths before the evacuation iteration while maintaining the reduced evacuation time. Our third algorithm EET focuses on reducing the evacuation time of SMP output even in the worst-case scenarios by efficiently and effectively estimating the evacuation time and by using it to determine the source node to be evacuated in each round. The computation results show that EET successfully reduces the evacuation time, especially when DMP/SMP outputs were worse than CCRP++. Due to its algorithmic complication, EET has slightly increased computation time compared to SMP, but still remains comparable to DMP.","PeriodicalId":229456,"journal":{"name":"International Workshop on Mobile Geographic Information Systems","volume":"24 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Workshop on Mobile Geographic Information Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2675316.2675326","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 9

Abstract

More and more natural disasters are happening around the globe and in such urgent situations, effective evacuation planning is one of the most critical tools for human safety. Evacuation planning algorithms are different from traditional network routing algorithms in the sense that the objective is to minimize the time when the last evacuee arrives at the destination. Among the existing evacuation planning algorithms, CCRP++ finds good solutions but its computation time is not scalable in terms of the number of the evacuees. In addition, in order to improve the computation time from the base algorithm CCRP, CCRP++ makes non-global up-date of earliest arrival time of each source node which results in unnecessarily large evacuation time. In this paper we investigated the two factors (evacuation time and computation time) of CCRP++ and proposed three algorithms, DMP, SMP, and EET, that significantly improve both factors. All four algorithms take the transportation network as the input and output the complete evacuation scenarios in which individualized evacuation plan for each evacuee is determined. Our first algorithm DMP significantly reduces the number of the shortest path findings during the evacuation iteration which is the main reason of large computation time of CCRP++. In addition, by updating the earliest arrival time of each found path efficiently, the evacuation time of DMP output is on average reduced compared to that of CCRP++ output. Our second algorithm SMP further reduces the computation time by first finding the limited number of shortest paths before the evacuation iteration while maintaining the reduced evacuation time. Our third algorithm EET focuses on reducing the evacuation time of SMP output even in the worst-case scenarios by efficiently and effectively estimating the evacuation time and by using it to determine the source node to be evacuated in each round. The computation results show that EET successfully reduces the evacuation time, especially when DMP/SMP outputs were worse than CCRP++. Due to its algorithmic complication, EET has slightly increased computation time compared to SMP, but still remains comparable to DMP.
基于多路径最早到达时间更新的有效疏散路径规划算法
全球范围内发生的自然灾害越来越多,在这种紧急情况下,有效的疏散规划是保障人类安全的最关键工具之一。疏散规划算法与传统网络路由算法的不同之处在于,疏散规划算法的目标是使最后一个疏散人员到达目的地的时间最短。在现有的疏散规划算法中,CCRP++算法得到了较好的解决方案,但其计算时间在疏散人数方面缺乏可扩展性。此外,为了提高基础算法CCRP的计算时间,CCRP++对每个源节点最早到达时间进行了非全局更新,导致不必要的大疏散时间。本文研究了CCRP++的疏散时间和计算时间两个因素,并提出了DMP、SMP和EET三种算法,显著改善了疏散时间和计算时间。四种算法均以交通网络为输入输出完整的疏散场景,确定每个疏散人员的个性化疏散计划。我们的第一种算法DMP显著减少了疏散迭代中最短路径的发现次数,这是CCRP++计算时间大的主要原因。此外,通过有效地更新所找到的每条路径的最早到达时间,DMP输出的疏散时间比CCRP++输出平均减少。我们的第二种算法SMP通过首先在疏散迭代之前找到有限数量的最短路径,同时保持减少的疏散时间,进一步减少了计算时间。我们的第三种算法EET侧重于通过高效有效地估计疏散时间,并利用它来确定每轮需要疏散的源节点,从而减少SMP输出在最坏情况下的疏散时间。计算结果表明,EET成功地缩短了疏散时间,特别是在DMP/SMP输出比CCRP++差的情况下。由于其算法的复杂性,与SMP相比,EET的计算时间略有增加,但仍与DMP相当。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信