基于ITS的高效动态红绿灯控制

Naushin Nower, Sakhawat Hossan
{"title":"基于ITS的高效动态红绿灯控制","authors":"Naushin Nower, Sakhawat Hossan","doi":"10.1145/3018896.3056807","DOIUrl":null,"url":null,"abstract":"In almost all modern cities around the world, traffic congestion is a severe problem. Existing adaptive traffic control systems utilized traffic phase and phase duration either considering traffic density or vehicular waiting time and hunger level, without any optimization. To solve this problem, we have proposed an efficient dynamic traffic light control for ITS by considering multiple factors at a time with the provisions to optimize the average vehicular waiting time, and maximize throughput. Moreover, phase duration is set in such a way so that maximum people will get benefit. Simulation results demonstrate that our algorithm produces much higher throughput and lower vehicle's average waiting time, compared with that of other adaptive algorithms.","PeriodicalId":131464,"journal":{"name":"Proceedings of the Second International Conference on Internet of things, Data and Cloud Computing","volume":"45 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-03-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"4","resultStr":"{\"title\":\"Efficient dynamic traffic light control for ITS\",\"authors\":\"Naushin Nower, Sakhawat Hossan\",\"doi\":\"10.1145/3018896.3056807\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In almost all modern cities around the world, traffic congestion is a severe problem. Existing adaptive traffic control systems utilized traffic phase and phase duration either considering traffic density or vehicular waiting time and hunger level, without any optimization. To solve this problem, we have proposed an efficient dynamic traffic light control for ITS by considering multiple factors at a time with the provisions to optimize the average vehicular waiting time, and maximize throughput. Moreover, phase duration is set in such a way so that maximum people will get benefit. Simulation results demonstrate that our algorithm produces much higher throughput and lower vehicle's average waiting time, compared with that of other adaptive algorithms.\",\"PeriodicalId\":131464,\"journal\":{\"name\":\"Proceedings of the Second International Conference on Internet of things, Data and Cloud Computing\",\"volume\":\"45 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-03-22\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the Second International Conference on Internet of things, Data and Cloud Computing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3018896.3056807\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the Second International Conference on Internet of things, Data and Cloud Computing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3018896.3056807","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 4

摘要

在世界上几乎所有的现代城市,交通拥堵都是一个严重的问题。现有的自适应交通控制系统既考虑交通密度,又考虑车辆等待时间和饥饿程度,采用交通相位和相位持续时间,没有进行优化。为了解决这一问题,我们提出了一种高效的ITS动态红绿灯控制方法,同时考虑多种因素,优化车辆平均等待时间,最大限度地提高吞吐量。并且,在设定阶段持续时间时,使最大的人受益。仿真结果表明,与其他自适应算法相比,该算法具有更高的吞吐量和更短的车辆平均等待时间。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Efficient dynamic traffic light control for ITS
In almost all modern cities around the world, traffic congestion is a severe problem. Existing adaptive traffic control systems utilized traffic phase and phase duration either considering traffic density or vehicular waiting time and hunger level, without any optimization. To solve this problem, we have proposed an efficient dynamic traffic light control for ITS by considering multiple factors at a time with the provisions to optimize the average vehicular waiting time, and maximize throughput. Moreover, phase duration is set in such a way so that maximum people will get benefit. Simulation results demonstrate that our algorithm produces much higher throughput and lower vehicle's average waiting time, compared with that of other adaptive algorithms.
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:604180095
Book学术官方微信