Timing co-evolutionary path optimisation method for emergency vehicles considering the safe passage

IF 3.1 2区 工程技术 Q2 TRANSPORTATION Transportmetrica A-Transport Science Pub Date : 2025-05-04 DOI:10.1080/23249935.2023.2253477
Jiabin Wu , Yifeng Lin , Weiwei Qi
{"title":"Timing co-evolutionary path optimisation method for emergency vehicles considering the safe passage","authors":"Jiabin Wu ,&nbsp;Yifeng Lin ,&nbsp;Weiwei Qi","doi":"10.1080/23249935.2023.2253477","DOIUrl":null,"url":null,"abstract":"<div><div>Emergency vehicles encounter traffic accidents at intersections of the network frequently, which seriously threatens the lives of rescue teams and patients. To improve the driving safety and travel efficiency of emergency vehicles, this study proposes a new method of timing co-evolutionary path optimisation for emergency vehicles based on the safety evaluation of intersections in an uncertain environment. First, the associated benefit calculation of emergency priority for vehicles passing through the nodes and road sections is provided then. Second, a mathematical description of the emergency vehicle path optimisation model is proposed, and its primary optimisation objective is to minimise travel time. A secondary optimisation objective based on a flexible time window is proposed to optimise the risk coefficient of the rescue path. Finally, an improved ripple-spreading algorithm is designed to find the optimal path. The findings can help to provide auxiliary decision support for the path selection of emergency rescue actions.</div></div>","PeriodicalId":48871,"journal":{"name":"Transportmetrica A-Transport Science","volume":"21 2","pages":"Pages 1-33"},"PeriodicalIF":3.1000,"publicationDate":"2025-05-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Transportmetrica A-Transport Science","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/org/science/article/pii/S2324993523003019","RegionNum":2,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"TRANSPORTATION","Score":null,"Total":0}
引用次数: 0

Abstract

Emergency vehicles encounter traffic accidents at intersections of the network frequently, which seriously threatens the lives of rescue teams and patients. To improve the driving safety and travel efficiency of emergency vehicles, this study proposes a new method of timing co-evolutionary path optimisation for emergency vehicles based on the safety evaluation of intersections in an uncertain environment. First, the associated benefit calculation of emergency priority for vehicles passing through the nodes and road sections is provided then. Second, a mathematical description of the emergency vehicle path optimisation model is proposed, and its primary optimisation objective is to minimise travel time. A secondary optimisation objective based on a flexible time window is proposed to optimise the risk coefficient of the rescue path. Finally, an improved ripple-spreading algorithm is designed to find the optimal path. The findings can help to provide auxiliary decision support for the path selection of emergency rescue actions.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
考虑安全通道的应急车辆时序协同进化路径优化方法
应急车辆在路网交叉口频繁发生交通事故,严重威胁到救援人员和患者的生命安全。为提高应急车辆的行驶安全性和出行效率,提出了一种基于不确定环境下交叉口安全评价的应急车辆时序协同进化路径优化方法。首先,给出了通过节点和路段的车辆应急优先级的关联效益计算。其次,提出了应急车辆路径优化模型的数学描述,该模型的主要优化目标是最小化行驶时间。提出了基于柔性时间窗的二次优化目标,对救援路径的风险系数进行优化。最后,设计了一种改进的纹波扩散算法来寻找最优路径。研究结果可为应急救援行动路径选择提供辅助决策支持。
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 去求助
来源期刊
Transportmetrica A-Transport Science
Transportmetrica A-Transport Science TRANSPORTATION SCIENCE & TECHNOLOGY-
CiteScore
8.10
自引率
12.10%
发文量
55
期刊介绍: Transportmetrica A provides a forum for original discourse in transport science. The international journal''s focus is on the scientific approach to transport research methodology and empirical analysis of moving people and goods. Papers related to all aspects of transportation are welcome. A rigorous peer review that involves editor screening and anonymous refereeing for submitted articles facilitates quality output.
期刊最新文献
Applying an improved calibration method in the safety evaluation framework for the open tolling system Artificial intelligence in automatic passenger counting: cost-efficient validation using the partitioned equivalence test The optimal solution to the energy-efficient train control in a multi-trains system–Part 2: the optimality and the uniqueness Flexible facility requirements for strategic planning of airport passenger terminal infrastructure Analysis of discretionary lane-changing behaviours of autonomous vehicles based on real-world data
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1