{"title":"一种智能道路交通控制系统","authors":"S. Gangadhar","doi":"10.1109/TECHSYM.2010.5469286","DOIUrl":null,"url":null,"abstract":"This paper reveals the use of a microcontroller to optimize timing plans according to traffic conditions in real-time. The control system is designed to be able to optimize the traffic flow using several kinds of strategies, which are green time split and time slot, green time extension, and offset optimization strategy and the transfer of data related to local conditions to a network control base. This provides diversity in control and shows how several control strategies can be used and switched over to provide best control. The solution is cost-effective too employing minimum number of sensors.","PeriodicalId":262830,"journal":{"name":"2010 IEEE Students Technology Symposium (TechSym)","volume":"73 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":"{\"title\":\"An intelligent road traffic control system\",\"authors\":\"S. Gangadhar\",\"doi\":\"10.1109/TECHSYM.2010.5469286\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper reveals the use of a microcontroller to optimize timing plans according to traffic conditions in real-time. The control system is designed to be able to optimize the traffic flow using several kinds of strategies, which are green time split and time slot, green time extension, and offset optimization strategy and the transfer of data related to local conditions to a network control base. This provides diversity in control and shows how several control strategies can be used and switched over to provide best control. The solution is cost-effective too employing minimum number of sensors.\",\"PeriodicalId\":262830,\"journal\":{\"name\":\"2010 IEEE Students Technology Symposium (TechSym)\",\"volume\":\"73 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-04-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"8\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 IEEE Students Technology Symposium (TechSym)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/TECHSYM.2010.5469286\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 IEEE Students Technology Symposium (TechSym)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/TECHSYM.2010.5469286","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
This paper reveals the use of a microcontroller to optimize timing plans according to traffic conditions in real-time. The control system is designed to be able to optimize the traffic flow using several kinds of strategies, which are green time split and time slot, green time extension, and offset optimization strategy and the transfer of data related to local conditions to a network control base. This provides diversity in control and shows how several control strategies can be used and switched over to provide best control. The solution is cost-effective too employing minimum number of sensors.
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