交通运输系统工程与信息 ›› 2015, Vol. 15 ›› Issue (2): 36-41.

• 综合交通体系论坛 • 上一篇    下一篇

基于交通环境容量的区域交通动态调控模型

杜怡曼*1,2,贾宇涵1,2,吴建平1,2,许明3,杨森炎1   

  1. 1. 清华大学土木工程系,北京100084;2. 现代城市交通技术江苏高校协同创新中心,南京210096; 3. 北京邮电大学,北京100876
  • 收稿日期:2014-12-11 修回日期:2015-01-16 出版日期:2015-04-25 发布日期:2015-04-27
  • 作者简介:杜怡曼(1977-),女,四川人,助理研究员,博士.
  • 基金资助:

    中国博士后科学基金(2013M540102);国家863项目基金(2012AA063303).

Dynamic Traffic Control Model Based on Traffic Environmental Capacity

DU Yi-man1,2,JIAYu-han1,2,WU Jian-ping1,2,XU Ming3,YANG Sen-yan1   

  1. 1. Department of Civil Engineering, Tsinghua University, Beijing 100084, China; 2. Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies, Nanjing 210096, China; 3. Beijing University of Posts and Telecommunication, Beijing 100876, China
  • Received:2014-12-11 Revised:2015-01-16 Online:2015-04-25 Published:2015-04-27

摘要:

近年来,随着社会经济的发展,交通运输系统已经成为一个主要的空气污染源.为了保护城市空气质量,同时尽量满足居民的出行需求,应该把控制机动车排放和改善道路通行效率结合起来考虑.针对此问题,本文引入交通环境容量和宏观交通基本图,采用多目标规划模型来描述区域机动车排放和路网通行能力之间的关系,并通过动态交通调控机制降低重点区域内的交通排放总量.本文将该调控理论应用于南京某路网的管理过程中,仿真结果显示,交通环境控制效果比较显著,同时道路通行能力也得到一定程度的保证.文中相关的理论与实践,可以为城市区域交通管理和污染控制提供重要参考.

关键词: 城市交通, 区域动态调控, 多目标规划模型, 交通环境容量, 微观仿真

Abstract:

In recent years, transportation system has become an important source of air pollution. As a result, it is urgent to consider improving traffic efficiency under the condition of protecting urban air quality. Based on the traffic environmental capacity and macroscopic fundamental diagram theory, the multiobjective programming model is adopted to describe the relationship between traffic emission and traffic capacity. Then a dynamic traffic volume control method is developed for regional traffic management. As a case study, the proposed methodology is applied to a road network located in central area of Nanjing. The results show that traffic efficiency is improved significantly and the urban air quality is ensured. This paper can offer some reference for the decision-making of urban traffic management.

Key words: urban traffic, regional traffic volume dynamic control, multi-objective programming model, traffic environmental capacity, microscopic traffic simulation

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