A novel fuzzy method to traffic light control based on unidirectional selective cellular automata for urban traffic

M. Shakeri, H. Deldari, A. Rezvanian, H. Foroughi
{"title":"A novel fuzzy method to traffic light control based on unidirectional selective cellular automata for urban traffic","authors":"M. Shakeri, H. Deldari, A. Rezvanian, H. Foroughi","doi":"10.1109/ICCITECHN.2008.4803071","DOIUrl":null,"url":null,"abstract":"Vehicular travel which demands on the concurrent operations and parallel activities is increasing throughout the world. In this paper to control urban traffic, we study the optimization of traffic light controller in a city and present a fuzzy algorithm based on cellular automata. In existent system factors like priority of streets of intersection and width/length of streets are assumed equal. However, in real situations parameters like time during the day, density of vehicles of street and number of shopping centers have determinant effects on amount of traffic of streets. To overcome such limitations we propose a three leveled fuzzy system. At first level priority of street is computed based on fuzzy rules. At second level real velocity of vehicles is calculated. We use CA for simulating vehicles' density transmission. At third level by regarding priority of street and amount of density, decision for changing status of traffic light is done.","PeriodicalId":335795,"journal":{"name":"2008 11th International Conference on Computer and Information Technology","volume":"46 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"11","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 11th International Conference on Computer and Information Technology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCITECHN.2008.4803071","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 11

Abstract

Vehicular travel which demands on the concurrent operations and parallel activities is increasing throughout the world. In this paper to control urban traffic, we study the optimization of traffic light controller in a city and present a fuzzy algorithm based on cellular automata. In existent system factors like priority of streets of intersection and width/length of streets are assumed equal. However, in real situations parameters like time during the day, density of vehicles of street and number of shopping centers have determinant effects on amount of traffic of streets. To overcome such limitations we propose a three leveled fuzzy system. At first level priority of street is computed based on fuzzy rules. At second level real velocity of vehicles is calculated. We use CA for simulating vehicles' density transmission. At third level by regarding priority of street and amount of density, decision for changing status of traffic light is done.
基于单向选择元胞自动机的模糊交通信号灯控制新方法
在世界范围内,车辆出行对并行作业和并行活动的要求越来越高。本文针对城市交通控制问题,研究了城市交通灯控制器的优化问题,提出了一种基于元胞自动机的模糊控制算法。在现有的系统中,交叉口街道优先级和街道宽度/长度等因素假设相等。而在实际情况中,白天时间、街道车辆密度、购物中心数量等参数对街道交通量具有决定性影响。为了克服这些限制,我们提出了一个三层模糊系统。首先根据模糊规则计算街道优先级;在第二级计算车辆的实际速度。我们使用CA来模拟车辆的密度传输。在第三层,根据街道的优先级和密度的大小,决定交通灯的改变状态。
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:481959085
Book学术官方微信