考虑道路属性的城市交通网络可变信息标志定位算法

Zhan Lin, B. Si
{"title":"考虑道路属性的城市交通网络可变信息标志定位算法","authors":"Zhan Lin, B. Si","doi":"10.1109/ICTIS.2015.7232105","DOIUrl":null,"url":null,"abstract":"Variable message sign (VMS) is an important tool for traffic guidance. However, the effectiveness of VMS largely depends on the number and location of installation in road network. In practice, VMS location is always based on the managers' experiences and subjective judgments, without sufficient theoretical support. This paper presents an algorithm for VMS location through road traffic network in which the idea of backtracking is used. The location order can be obtained by scanning the four multi-level traffic-guidance attributions on each road. These four attributions include road grade, traffic flow, and information intensity and information attenuation. In the proposed algorithm, the remaining roads will be scanned by using lower-level attribution or rescanned by using the same upper-level attribution after one attribution has been checked for one road. In this algorithm, not only the static factors related to traffic information are taken into account, but also the dynamic one like information attenuation is considered. Finally, a practical example of the algorithm is analyzed and verified.","PeriodicalId":389628,"journal":{"name":"2015 International Conference on Transportation Information and Safety (ICTIS)","volume":"135 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-06-25","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Algorithm for variable message sign location on urban traffic network considering road attributions\",\"authors\":\"Zhan Lin, B. Si\",\"doi\":\"10.1109/ICTIS.2015.7232105\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Variable message sign (VMS) is an important tool for traffic guidance. However, the effectiveness of VMS largely depends on the number and location of installation in road network. In practice, VMS location is always based on the managers' experiences and subjective judgments, without sufficient theoretical support. This paper presents an algorithm for VMS location through road traffic network in which the idea of backtracking is used. The location order can be obtained by scanning the four multi-level traffic-guidance attributions on each road. These four attributions include road grade, traffic flow, and information intensity and information attenuation. In the proposed algorithm, the remaining roads will be scanned by using lower-level attribution or rescanned by using the same upper-level attribution after one attribution has been checked for one road. In this algorithm, not only the static factors related to traffic information are taken into account, but also the dynamic one like information attenuation is considered. Finally, a practical example of the algorithm is analyzed and verified.\",\"PeriodicalId\":389628,\"journal\":{\"name\":\"2015 International Conference on Transportation Information and Safety (ICTIS)\",\"volume\":\"135 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-06-25\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 International Conference on Transportation Information and Safety (ICTIS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICTIS.2015.7232105\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 International Conference on Transportation Information and Safety (ICTIS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICTIS.2015.7232105","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

摘要

可变消息标志(VMS)是交通引导的重要工具。然而,VMS的有效性在很大程度上取决于在路网中安装的数量和位置。在实践中,VMS的定位往往是基于管理者的经验和主观判断,缺乏足够的理论支持。本文提出了一种基于回溯思想的道路交通网络虚拟机定位算法。通过扫描每条道路上的4个多层次交通引导属性,得到定位顺序。这四个属性包括道路等级、交通流量、信息强度和信息衰减。在本文提出的算法中,对于一条道路,在检查完一条道路的一个属性后,对剩余的道路使用下级属性进行扫描,或者使用相同的上层属性进行重新扫描。该算法既考虑了与交通信息相关的静态因素,又考虑了信息衰减等动态因素。最后,对该算法进行了实例分析和验证。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Algorithm for variable message sign location on urban traffic network considering road attributions
Variable message sign (VMS) is an important tool for traffic guidance. However, the effectiveness of VMS largely depends on the number and location of installation in road network. In practice, VMS location is always based on the managers' experiences and subjective judgments, without sufficient theoretical support. This paper presents an algorithm for VMS location through road traffic network in which the idea of backtracking is used. The location order can be obtained by scanning the four multi-level traffic-guidance attributions on each road. These four attributions include road grade, traffic flow, and information intensity and information attenuation. In the proposed algorithm, the remaining roads will be scanned by using lower-level attribution or rescanned by using the same upper-level attribution after one attribution has been checked for one road. In this algorithm, not only the static factors related to traffic information are taken into account, but also the dynamic one like information attenuation is considered. Finally, a practical example of the algorithm is analyzed and verified.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
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:481959085
Book学术官方微信