I. Wior, Mohsen Mirza Aligoudarzi, A. Fay, D. Görges, Steven Liu
{"title":"Control design for nodes in decentralized traffic networks with delayed traffic information","authors":"I. Wior, Mohsen Mirza Aligoudarzi, A. Fay, D. Görges, Steven Liu","doi":"10.1109/ETFA.2013.6648077","DOIUrl":null,"url":null,"abstract":"Decentralized control approaches arise as promising solutions to cope with the high complexity of interconnected networks such as in the traffic domain. Leaving the control of traffic flow in the hands of distributed traffic nodes opens up the potential for a more efficient network utilization and a higher adaptability to changing traffic conditions. However, some control approaches based on decentralized information handling will introduce information delays which can result in suboptimal system performance and unintended effects such as oscillating traffic flows and traffic congestions. This paper compares the performance of a robust PI control approach without and with Smith predictor for an automated traffic control node with delayed traffic information. Results are validated with a realistic traffic simulation tool.","PeriodicalId":106678,"journal":{"name":"2013 IEEE 18th Conference on Emerging Technologies & Factory Automation (ETFA)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-10-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 IEEE 18th Conference on Emerging Technologies & Factory Automation (ETFA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ETFA.2013.6648077","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
Decentralized control approaches arise as promising solutions to cope with the high complexity of interconnected networks such as in the traffic domain. Leaving the control of traffic flow in the hands of distributed traffic nodes opens up the potential for a more efficient network utilization and a higher adaptability to changing traffic conditions. However, some control approaches based on decentralized information handling will introduce information delays which can result in suboptimal system performance and unintended effects such as oscillating traffic flows and traffic congestions. This paper compares the performance of a robust PI control approach without and with Smith predictor for an automated traffic control node with delayed traffic information. Results are validated with a realistic traffic simulation tool.