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Demonstration of Alternative Traffic Information Collection and Management Technologies

机译:示范交通信息收集和管理技术

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Many of the components associated with the deployment of Intelligent Transportation Systems (ITS) to support a traffic management center (TMC) such as remote control cameras, traffic speed detectors, and variable message signs, have been available for many years. Their deployment, however, has been expensive and applied primarily to freeways and inlerstates, and have been deployed principally in the major metropolitan areas in the US; not smaller cities. The Knoxville (Tennessee) Transportation Planning Organization is sponsoring a project that will test the integration of several technologies to estimate near-real time traffic information data and information that could eventually be used by travelers to make better and more informed decisions related to their travel needs. The uniqueness of this demonstration is that it will seek to predict traffic conditions based on cellular phone signals already being collected by cellular communications companies. - Information about the average speed on various portions of local arterials and incident identification (incident location) will be collected and compared to similar data generated by "probe vehicles". Successful validation of the speed information generated from cell phone data will allow traffic data to be generated much more economically and utilize technologies that are minimally infrastructure invasive. Furthermore, when validated, traffic information could be provided to the traveling public allowing then to make better decisions about trips. More efficient trip planning and execution can reduce congestion and associated vehicle emissions. This paper will discuss the technologies, the demonstration project, the project details, and future directions.
机译:许多年来,与支持交通管理中心(TMC)的智能交通系统(ITS)部署相关的许多组件已经面世,例如遥控摄像机,交通速度检测器和可变消息标志。但是,它们的部署非常昂贵,并且主要应用于高速公路和不宽容区,并且主要部署在美国的主要大都市地区。不小的城市。诺克斯维尔(田纳西州)运输计划组织正在赞助一个项目,该项目将测试多种技术的集成,以估算近实时交通信息数据和信息,这些信息最终将被旅行者用来做出与他们的旅行需求有关的更好,更明智的决策。该演示的独特之处在于它将试图根据蜂窝通信公司已经收集的蜂窝电话信号来预测交通状况。 -将收集有关局部动脉各个部分的平均速度和事故识别(事故地点)的信息,并将其与“探测车”生成的类似数据进行比较。从手机数据生成的速度信息的成功验证将使交通数据的产生更加经济,并利用对基础设施的影响最小的技术。此外,在经过验证后,可以将交通信息提供给旅行的公众,从而可以做出有关旅行的更好决策。更有效的行程计划和执行可以减少交通拥堵和相关的车辆排放。本文将讨论技术,示范项目,项目细节以及未来的方向。

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