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基于速度里程分布的快速路宏观交通状态评价模型
引用本文:岳园圆,于雷,朱琳,宋国华,陈旭梅.基于速度里程分布的快速路宏观交通状态评价模型[J].交通运输系统工程与信息,2014,14(4):85-92.
作者姓名:岳园圆  于雷  朱琳  宋国华  陈旭梅
作者单位: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
基金项目: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
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  
收稿时间:2013-11-08

Macroscopic Model for Evaluating Traffic Conditions on the Expressway Based on Speed-Specific VKT Distributions
YUE Yuan-yuan,YU Lei,ZHU Lin,SONG Guo-hua,CHEN Xu-mei.Macroscopic Model for Evaluating Traffic Conditions on the Expressway Based on Speed-Specific VKT Distributions[J].Transportation Systems Engineering and Information,2014,14(4):85-92.
Authors:YUE Yuan-yuan  YU Lei  ZHU Lin  SONG Guo-hua  CHEN Xu-mei
Affiliation: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
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.
Keywords:urban traffic  macroscopic traffic conditions index  macroscopic fundamental diagram  ex-pressway  cumulative distribution of travel speeds
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