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Automated Traffic Signal Performance Measures

机译:自动化交通信号表现测度

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摘要

Improved signal operations with smooth and equitable traffic flow are goals for most traffic engineers; however the limited snapshot-view retiming methods that involve manual data collection, traffic signal modeling, and field fine-tuning are resource intensive and unresponsive to changes in traffic patterns. The National Transportation Operations Coalition's 2012 National Traffic Signal Report Card has led agencies to focus resources on these activities and develop methodologies to examine all the components of traffic signal operations. These data-driven program management plans provide objective methods for identifying shortcomings and encourages coordination with neighboring jurisdictions. In addition, agencies need tools to prioritize activities when resources are constrained.
机译:大多数交通工程师的目标是在平稳,公平的交通流量下改善信号操作。但是,有限的快照视图重定时方法涉及手动数据收集,交通信号建模和现场微调,这些都是资源密集型的,并且对流量模式的变化无响应。美国国家运输运营联盟(National Transportation Operations Coalition)的2012年《国家交通信号报告卡》促使各机构将资源集中在这些活动上,并开发了方法来检查交通信号运营的所有组成部分。这些以数据为依据的计划管理计划提供了识别缺点的客观方法,并鼓励与相邻辖区的协调。此外,机构需要工具来在资源有限时确定活动的优先级。

著录项

  • 来源
    《ITE journal》 |2014年第3期|33-39|共7页
  • 作者单位

    School of Civil Engineering at Purdue University;

    Utah Department of Transportation;

    Utah Department of Transportation;

    Metro District of the Minnesota Department of Transportation in Roseville, MN, USA;

    Indiana Department of Transportation;

    Indiana Department of Transportation's;

    Utah Department of Transportation;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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