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

R. Jiao, J. Y. Tsai
{"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}
引用次数: 0

摘要

智能交通服务系统需要智能交通分析应用程序,使一系列用户(包括服务消费者和服务生产者)之间的关系能够高度运作。这篇综述论文设想了一种系统架构,通过将智能传感和人群外包技术、大规模云数据分析和计算、预测性决策制定和优化集成到多模式、实时交通监控、规划和控制的人员、运营和信息的连贯社会技术配置中,从而增强联网车辆到x环境的能力。并结合巷道工作区域的实例,讨论了关键技术挑战和研究问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信