交通运输系统工程与信息

交通运输系统工程与信息 ›› 2014, Vol. 14 ›› Issue (4): 85-92.

• 智能交通系统与信息技术 • 上一篇    下一篇

基于速度里程分布的快速路宏观交通状态评价模型

岳园圆1，于雷*1,2 ，朱琳3，宋国华1，陈旭梅1   

  1. 1. 北京交通大学交通运输学院，北京100044；2. 德克萨斯南方大学交通系，美国休斯顿77004； 3.上海工程技术大学城市轨道交通学院，上海201620
  • 收稿日期:2013-11-08 修回日期:2014-02-25 出版日期:2014-08-25 发布日期:2014-09-16
  • 作者简介:岳园圆（1989-），女，山东聊城人，硕士生.
  • 基金资助:

    国家“973”计划项目（2012CB725403）；新世纪优秀人才支持计划（NCET-12-0763）；北京交通大学基本科研业务 费（T14JB00180）.

Macroscopic Model for Evaluating Traffic Conditions on the Expressway Based on Speed-Specific VKT Distributions

YUE Yuan-yuan1, YU Lei1,2, ZHU Lin3, SONG Guo-hua1, CHEN Xu-mei1   

  1. 1. School of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044, China; 2. College of Science and Technology, Texas Southern University, Houston TX 77004, America; 3.College of Urban Railway Transportation, Shanghai University of Engineering Science，Shanghai 201620, China
  • Received:2013-11-08 Revised:2014-02-25 Online:2014-08-25 Published:2014-09-16

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被引次数

15

摘要：

随着城市规模的不断扩大，快速路已成为支撑城市道路交通系统运行的重要 部分.准确的快速路宏观交通状态评价是快速路交通管理的关键.本文以北京市西三环为 例，引入交通流宏观基本图模型，设计了基于速度里程分布的快速路宏观交通状态指数 （MTCI）.首先，利用RTMS 数据，建立了宏观基本图模型.在此基础上，将快速路宏观交 通状态划分为畅通、基本畅通、轻度拥堵、中度拥堵和阻塞五个等级.然后，利用浮动车数 据建立了快速路车辆运行速度累积里程分布模型.通过关联宏观交通流状态与车辆运行 速度累积里程分布，构造了基于速度里程分布的MTCI 评价方法，并通过实例验证了该 模型的适用性.

关键词: 城市交通, 宏观交通状态指数, 宏观基本图, 快速路, 车辆运行速度累积里程 分布

Abstract:

With the continuous expansion of urban land, expressways have become key factors that support the entire urban road traffic operation. Accurate evaluation of traffic condition is the key of traffic management. This paper introduces the macroscopic fundamental diagram model and develops macroscopic traffic condition index (MTCI) based on speed-specific vehicle kilometers traveled (VKT) distributions by taking western 3rd ring-road expressway as an example. First, a macroscopic fundamental diagram model is established based on the RTMS data. Macroscopic traffic conditions on the expressway are classified into five levels (free- flow, near- free- flow, light congestion, moderate congestion, and severe congestion) based on the macroscopic fundamental diagram model. Subsequently, the speed spatial distribution model is designed using the floating car data. Furthermore, associating macroscopic traffic conditions with the cumulative distribution of travel speeds on the expressway, this study develops the MTCI evaluation method based on speedspecific VKT distributions. Finally, the proposed model is tested and verified using the western 3rd ring-road expressways.

Key words: urban traffic, macroscopic traffic conditions index, macroscopic fundamental diagram, expressway, cumulative distribution of travel speeds

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