Systems Analysis and Design of a Smart Traffic Service System for Predictive and Smarter Mobility and Safety in Roadway Work Zones

R. Jiao, J. Y. Tsai
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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.
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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
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。
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