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Practical approach to determining traffic congestion propagation boundary due to traffic incidents

机译:确定交通事故引起的交通拥堵传播边界的实用方法

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摘要

A practical approach for predicting the congestion boundary due to traffic incidents was proposed.Based on the kinematic wave theory and Van Aerde single-regime flow model,a model for estimating the congestion propagation speed for the basic road segment was developed.Historical traffic flow data were used to analyze the time variant characteristics of the urban traffic flow for each road type.Then,the saturation flow rate was used for analyzing the impact of the traffic incident on the traversing traffic flow at the congestion area.The base congestion propagation speed for each road type was calculated based on field data,which were provided by the remote traffic microwave sensors (RTMS),floating car data (FCD) system and screen line survey.According to a comparative analysis of the congestion propagation speed,it is found that the expressway,major arterial,minor arterial and collector are decreasingly influenced by the traffic incident.Subsequently,the impact of turning movements at intersections on the congestion propagation was considered.The turning ratio was adopted to represent the impact of turning movements,and afterward the corresponding propagation pattern at intersections was analyzed.Finally,an implementation system was designed on a geographic information system (GIS) platform to display the characteristics of the congestion propagation over the network.The validation results show that the proposed approach is able to capture the congestion propagation properties in the actual road network.
机译:提出了一种实用的方法,用于预测由于交通事故引起的拥堵边界。基于运动波理论和范气频率单政权流量模型,开发了一种估算基础路段拥塞传播速度的模型。近距离交通流量数据用于分析每条道路类型城市交通流量的时间变体特征。该饱和流速用于分析交通事件对拥塞区域的遍历交通流量的影响。基本拥塞传播速度根据远程交通微波传感器(RTMS),浮动汽车数据(FCD)系统和屏幕调查提供的现场数据计算。根据拥堵传播速度的比较分析,发现了高速公路,主要动脉,次要动脉和收集器受到交通事事的影响。连续,转动运动的影响考虑了对拥塞传播的交叉。采用转弯比来表示转动运动的影响,然后分析了交叉点的相应传播模式。最后,在地理信息系统(GIS)平台上设计了一种实现系统以显示网络上拥塞传播的特征。验证结果表明,所提出的方法能够捕获实际道路网络中的拥塞传播属性。

著录项

  • 来源
    《中南大学学报(英文版)》 |2017年第2期|413-422|共10页
  • 作者单位

    School of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044, China;

    School of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044, China;

    China Communications News, Beijing 100011, China;

    Beijing Transportation Research Center, Beijing 100073, China;

    College of Science, Engineering and Technology, Texas Southern University, Houston, Texas 77004, USA;

  • 收录信息 中国科学引文数据库(CSCD);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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