Research on signal scheme optimization and transportation efficiency based on road transportation

Proceedings of the 2021 9th International Conference on Information Technology: IoT and Smart City Pub Date : 2021-12-22 DOI:10.1145/3512576.3512651

Yi Lu, Tangyi Guo

{"title":"Research on signal scheme optimization and transportation efficiency based on road transportation","authors":"Yi Lu, Tangyi Guo","doi":"10.1145/3512576.3512651","DOIUrl":null,"url":null,"abstract":"In view of the low efficiency of urban road transportation in highway transportation, the signal timing of intersections is optimized by fuzzy control, and the law of traffic light duration caused by traffic flow in different directions is revealed, so as to provide theoretical and methodological support for solving the problems of traffic congestion and resource waste. Taking the vehicle passing queue length of the current phase and the queue waiting length of the other phase as the input values respectively, after fuzzification and application of fuzzy control rules, the output is the green light extension time of the current phase.In the same case, through MATLAB simulation research, it can be concluded that the fuzzy control mode can change the traffic signal duration in real time, and the average delay time of the intersection is reduced by 7.08% compared with the timing control, which can prove that the fuzzy control can alleviate the problem of traffic congestion, improve the traffic efficiency of the intersection, and improve the road transportation efficiency.","PeriodicalId":278114,"journal":{"name":"Proceedings of the 2021 9th International Conference on Information Technology: IoT and Smart City","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-12-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 2021 9th International Conference on Information Technology: IoT and Smart City","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3512576.3512651","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 0

Abstract

In view of the low efficiency of urban road transportation in highway transportation, the signal timing of intersections is optimized by fuzzy control, and the law of traffic light duration caused by traffic flow in different directions is revealed, so as to provide theoretical and methodological support for solving the problems of traffic congestion and resource waste. Taking the vehicle passing queue length of the current phase and the queue waiting length of the other phase as the input values respectively, after fuzzification and application of fuzzy control rules, the output is the green light extension time of the current phase.In the same case, through MATLAB simulation research, it can be concluded that the fuzzy control mode can change the traffic signal duration in real time, and the average delay time of the intersection is reduced by 7.08% compared with the timing control, which can prove that the fuzzy control can alleviate the problem of traffic congestion, improve the traffic efficiency of the intersection, and improve the road transportation efficiency.

查看原文本刊更多论文

基于道路运输的信号方案优化与运输效率研究

针对公路交通中城市道路交通效率较低的问题，采用模糊控制对交叉口信号配时进行优化，揭示不同方向交通流对红绿灯持续时间的影响规律，为解决交通拥堵和资源浪费问题提供理论和方法支持。分别以当前阶段的车辆通过队列长度和另一阶段的队列等待长度作为输入值，经过模糊化并应用模糊控制规则后，输出为当前阶段的绿灯延长时间。在相同的情况下，通过MATLAB仿真研究，可以得出模糊控制方式可以实时改变交通信号持续时间，与定时控制相比，交叉口的平均延误时间减少了7.08%，这可以证明模糊控制可以缓解交通拥堵问题，提高交叉口的交通效率，提高道路运输效率。

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

Proceedings of the 2021 9th International Conference on Information Technology: IoT and Smart City

自引率

0.00%

发文量