Using Its Data for Transportation system Performance Measurement

机译：使用其数据进行运输系统性能评估

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This paper presents a generic framework for utilizing different types of intelligent transportation system (ITS) data for congestion monitoring and performance measureemtn. The generic framework is based upon standard performance monitoring/feedback cycles. Various types of ITS data are applicable, including data items typically available through loop detectors, surveillance and incident detection systems, probe vehicle systems, and arterial street signal control systems. A case study example is provided in Houston, texas. The framework developed in this paper will assist urban areas that are implementing ITS components in measuring congestion and transportation system performance, and in quantifying the impacts that various ITS components have on congestion and system performance.

机译：本文提出了一个通用框架，用于利用不同类型的智能运输系统（ITS）数据进行拥塞监控和性能度量。通用框架基于标准性能监视/反馈周期。可应用各种类型的ITS数据，包括通常可通过环路检测器，监视和事件检测系统，探测车辆系统以及动脉街道信号控制系统获得的数据项。在德克萨斯州休斯顿提供了一个案例研究示例。本文开发的框架将帮助实施ITS组件的城市地区测量拥挤和交通系统的性能，并量化各种ITS组件对拥挤和系统性能的影响。

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来源
《Traffic congestion and traffic safety in the 21st century : Challenges, innovations, and opportunities》|1997年|p.340-346|共7页
会议地点 Chicago IL(US)
作者
Shawn M.Turner;
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原文格式 PDF
正文语种 eng
中图分类公路运输;
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Using Its Data for Transportation system Performance Measurement

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