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首页> 外文期刊>ITS Journal >Measuring Signalized Intersection Performance in Real-Time With Traffic Sensors
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Measuring Signalized Intersection Performance in Real-Time With Traffic Sensors

机译：使用交通传感器实时测量信号交叉口的性能

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摘要

Safety and quality of travel on arterial networks tie closely to the performance of signalized intersections. Measures commonly used for intersection performance evaluations are control delay, queue length, and cycle failure. However, these variables are not directly available from typical configurations of traffic sensors designed for intersection signal control. Collecting vehicle control delay data manually for intersection performance measurement has been a task too time-consuming and labor-intensive to be practical. Video image processors (VIPs) have been increasingly deployedfor intersection signal control in recent years. This study aims to use the extra detection capabilities of VIPs for performance monitoring at signalized intersections. Most VIPs can support up to 24 virtual loops, but normally less than half of the virtual loops are used. By properly configuring the spare virtual loops and analyzing the loop measurements, intersection performance can be monitored in real time. In this research, we propose an approach for measuring queue length and vehicle control delay at signalized intersections based on traffic count data collected with traffic sensors. This algorithm has been implemented in a computerized system called In-PerforM. The In-PerforM system was evaluated by both field tests and simulation experiments. Although the VIPs' counting errors do affect the accuracy of field test results, we still received encouraging results on queue lengths and control delay measurements in both the field tests and simulation experiments. This demonstrates that the In-PerforM system, and therefore the proposed algorithm, has the potential to be a cost-effective approach for performance measurement at signalized intersections.
机译：动脉网络上旅行的安全性和质量与信号交叉口的性能密切相关。交叉路口性能评估通常使用的措施是控制延迟，队列长度和循环故障。但是，这些变量不能从为交叉路口信号控制而设计的交通传感器的典型配置中直接获得。手动收集车辆控制延迟数据以进行交叉路口性能测量已成为一项既费时又费力的工作，难以实际应用。近年来，视频图像处理器（VIP）已越来越多地用于交叉路口信号控制。这项研究旨在使用VIP的额外检测功能来监控信号交叉口的性能。大多数VIP最多可支持24个虚拟循环，但通常使用的虚拟循环不到一半。通过正确配置备用虚拟环路并分析环路测量结果，可以实时监控路口性能。在这项研究中，我们提出了一种基于交通传感器收集的交通计数数据来测量信号交叉口的队列长度和车辆控制延迟的方法。该算法已在名为In-PerforM的计算机化系统中实现。 In-PerforM系统通过现场测试和模拟实验进行了评估。尽管VIP的计数错误确实会影响现场测试结果的准确性，但在现场测试和模拟实验中，我们仍然获得了令人鼓舞的队列长度和控制延迟测量结果。这表明In-PerforM系统以及所提出的算法有可能成为一种经济高效的方法，用于信号交叉口的性能测量。

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  • 来源
    《ITS Journal》 |2013年第4期|304-316|共13页
  • 作者

    JIANYANG ZHENG; XIAOLEI MA; YAO-JAN WU; YINHAI WANG;

  • 作者单位

    Maryland State Highway Administration, Annapolis, Maryland, USA;

    Department of Civil and Environmental Engineering, University of Washington, Seattle, Washington, USA;

    Department of Civil Engineering and Engineering Mechanics, The University of Arizona, Tucson, Arizona, USA;

    University of Washington and Harbin Institute of Technology Joint Laboratory on Advanced Transportation Technologies, Department of Civil and Environmental Engineering, University of Washington, Box 352700, Seattle, WA 98195-2700, USA;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    Control Delay; Performance Measurement; Queue Length; Signalized Intersections; Traffic Detector;

    机译：控制延迟绩效评估;队列长度;信号交叉口;交通探测器;

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