华南理工大学学报(自然科学版) ›› 2013, Vol. 41 ›› Issue (8): 93-98.doi: 10.3969/j.issn.1000-565X.2013.08.015

• 交通与运输工程 • 上一篇    下一篇

基于线圈检测的过饱和交通状态判别

钱喆 徐建闽   

  1. 华南理工大学 土木与交通学院,广东 广州 510640
  • 收稿日期:2013-07-10 出版日期:2013-08-25 发布日期:2013-07-01
  • 通信作者: 钱喆(1978-),男,博士生,高级工程师,主要从事交通控制研究. E-mail:qianz1978@gmail.com
  • 作者简介:钱喆(1978-),男,博士生,高级工程师,主要从事交通控制研究.
  • 基金资助:

    广东省重大科技专项(2012A010800007)

Identification of Oversaturated Traffic Conditions Based on Loop Detection

Qian Zhe Xu Jian- min   

  1. School of Civil Engineering and Transportation,South China University of Technology,Guangzhou 510640,Guangdong,China
  • Received:2013-07-10 Online:2013-08-25 Published:2013-07-01
  • Contact: 钱喆(1978-),男,博士生,高级工程师,主要从事交通控制研究. E-mail:qianz1978@gmail.com
  • About author:钱喆(1978-),男,博士生,高级工程师,主要从事交通控制研究.
  • Supported by:

    广东省重大科技专项(2012A010800007)

摘要: 信号控制交叉口的过饱和交通状态判别是进行交通拥堵管控的前提与基础,文中利用线圈检测数据,运用交通波理论,从交叉口绿灯结束滞留排队长度和下游交叉口溢流两个方面判别过饱和交通状态.针对绿灯结束滞留排队长度,定义了排队消散系数,提出利用排队消散系数判别交叉口过饱和交通状态; 针对下游交叉口溢流,定义了溢流阻滞系数,提出利用溢流阻滞系数判别过饱和溢流现象.最后,通过算例说明: 根据线圈检测数据,通过计算排队消散系数和溢流阻滞系数可以准确、有效且快速地判别过饱和交通状态.

关键词: 过饱和交通, 状态判别, 滞留排队, 交叉口溢流, 线圈检测

Abstract:

The identification of the oversaturted traffic conditions at the signal control intersection helps to control traffic congestion.In the investigation,based on the detection data of inductive loop detectors,the traffic wave theory is utilized to identify the oversaturated traffic condition from two aspects,namely,the retention queue length at the end of the green light at an intersection and the overflow of the downstream intersection.Aiming at the first aspect,the queuing dissipated coefficient is defined to identify the oversaturated traffic condition at the intersection.Aiming at the second aspect,the overflow retardation coefficient is defined to reveal the oversaturated overflow phenome-non.Case study results show that oversaturated traffic condition can be accurately and effectively identified by cal-culating the queue dissipation coefficient and the overflow retardation coefficient based on the loop detection data.

Key words: oversaturated traffic, state identification, retention queue, intersection overflow, loop detection