{"title":"Digital Twin-Assisted Lane-changing and Variable Speed Limit Control for Weaving Segments","authors":"Tingting Fan, I. W. Ho, E. Chung","doi":"10.1109/DTPI55838.2022.9998933","DOIUrl":null,"url":null,"abstract":"With the rapid growth of traffic demand, the lane-changing concentration problem of weaving segments is significant on the highway, resulting in decreased operation efficiency and road safety. The cooperative intelligence transportation system (C-ITS) with vehicle-to-everything (V2X) technology provides the possibility for emerging new cooperative strategies to alleviate that problem. Most of the existing V2X-assisted traffic control strategies assume that communication and connection between vehicles are perfect, which does not reflect reality. To accurately describe the dynamics of vehicular traffic and node connections, a joint traffic and network simulator is established to construct the digital twin system, where two traffic control strategies, namely the lane-changing (LC) distribution strategy and the variable speed limit (VSL) control strategy, are proposed and validated in a complex vehicular communication network. The simulation results show that packet loss negatively affects the performance of V2X-assisted LC control, and the integrated strategy improves the overall average speed by up to 40.4%, compared with the LC control alone.","PeriodicalId":409822,"journal":{"name":"2022 IEEE 2nd International Conference on Digital Twins and Parallel Intelligence (DTPI)","volume":"45 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-10-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE 2nd International Conference on Digital Twins and Parallel Intelligence (DTPI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/DTPI55838.2022.9998933","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
With the rapid growth of traffic demand, the lane-changing concentration problem of weaving segments is significant on the highway, resulting in decreased operation efficiency and road safety. The cooperative intelligence transportation system (C-ITS) with vehicle-to-everything (V2X) technology provides the possibility for emerging new cooperative strategies to alleviate that problem. Most of the existing V2X-assisted traffic control strategies assume that communication and connection between vehicles are perfect, which does not reflect reality. To accurately describe the dynamics of vehicular traffic and node connections, a joint traffic and network simulator is established to construct the digital twin system, where two traffic control strategies, namely the lane-changing (LC) distribution strategy and the variable speed limit (VSL) control strategy, are proposed and validated in a complex vehicular communication network. The simulation results show that packet loss negatively affects the performance of V2X-assisted LC control, and the integrated strategy improves the overall average speed by up to 40.4%, compared with the LC control alone.