{"title":"面向道路工作区域预测性和更智能的出行与安全的智能交通服务系统分析与设计","authors":"R. Jiao, J. Y. Tsai","doi":"10.1109/IEEM.2018.8607310","DOIUrl":null,"url":null,"abstract":"Smart traffic service systems entail intelligent traffic analysis applications that enable highly functioning relationships between a range of users, including service consumers and service producers. This review paper envisions a systems architecture to empower a connected vehicle-to-X environment by integrating smart sensing and crowd sourcing technologies, large-scale cloud data analytics and computation, and predictive decision making and optimization into a coherent socio-technical configuration of people, operations and information through multimodal, real-time traffic monitoring, planning and control. Key technical challenges and research issues are discussed with respect to an illustrative case of roadway work zones.","PeriodicalId":119238,"journal":{"name":"2018 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","volume":"60 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Systems Analysis and Design of a Smart Traffic Service System for Predictive and Smarter Mobility and Safety in Roadway Work Zones\",\"authors\":\"R. Jiao, J. Y. Tsai\",\"doi\":\"10.1109/IEEM.2018.8607310\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Smart traffic service systems entail intelligent traffic analysis applications that enable highly functioning relationships between a range of users, including service consumers and service producers. This review paper envisions a systems architecture to empower a connected vehicle-to-X environment by integrating smart sensing and crowd sourcing technologies, large-scale cloud data analytics and computation, and predictive decision making and optimization into a coherent socio-technical configuration of people, operations and information through multimodal, real-time traffic monitoring, planning and control. Key technical challenges and research issues are discussed with respect to an illustrative case of roadway work zones.\",\"PeriodicalId\":119238,\"journal\":{\"name\":\"2018 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)\",\"volume\":\"60 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IEEM.2018.8607310\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IEEM.2018.8607310","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Systems Analysis and Design of a Smart Traffic Service System for Predictive and Smarter Mobility and Safety in Roadway Work Zones
Smart traffic service systems entail intelligent traffic analysis applications that enable highly functioning relationships between a range of users, including service consumers and service producers. This review paper envisions a systems architecture to empower a connected vehicle-to-X environment by integrating smart sensing and crowd sourcing technologies, large-scale cloud data analytics and computation, and predictive decision making and optimization into a coherent socio-technical configuration of people, operations and information through multimodal, real-time traffic monitoring, planning and control. Key technical challenges and research issues are discussed with respect to an illustrative case of roadway work zones.