{"title":"基于道路运输的信号方案优化与运输效率研究","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":"{\"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}","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}
Research on signal scheme optimization and transportation efficiency based on road transportation
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.
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