交通运输系统工程与信息

交通运输系统工程与信息 ›› 2009, Vol. 9 ›› Issue (4): 30-35 .

• 智能交通系统与信息技术 • 上一篇    下一篇

城市微循环交通网络中单行交通组织优化

史峰1;黄恩厚1，2;陈群*1;王英姿3   

  1. 1.中南大学 交通运输工程学院，长沙 410075；2.广西南宁市规划局，南宁 530004；3. 湖南大学 土木工程学院，长沙 410082
  • 收稿日期:2009-02-09 修回日期:2009-04-17 出版日期:2009-08-25 发布日期:2009-08-25
  • 通讯作者: 陈群
  • 作者简介:史峰（1956-），男，教授，博士生导师.
  • 基金资助:

    国家基础研究计划项目（2006CB705507）；教育部高等学校博士学科点专项科研基金（20060533036）

Optimization of One-way Traffic Organization for Urban Micro-circulation Transportation Network

SHI Feng1; HUANG En-hou 1,2;CHEN Qun 1;WANG Ying-zi 3   

  1. 1. School of Traffic and Transportation Engineering, Central South University, Changsha 410075, China;
    2. Planning Bureau of Nanning City, Nanning 530004, China;
    3. College of Civil Engineering, Hunan University, Hunan 410082, China
  • Received:2009-02-09 Revised:2009-04-17 Online:2009-08-25 Published:2009-08-25
  • Contact: CHEN Qun

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被引次数

88

摘要： 为了有效疏解城市干道交通压力，优化与实施单行交通组织是充分发挥微循环交通网络效率的重要手段。从降低干道及微循环道路饱和度的目标出发，考虑最大期望饱和度的限制要求，建立了单行交通组织优化的双层规划模型。上层规划的决策变量为支线路段的单向行车组织方案，优化目标为最小化干道路段平均饱和度和最小化干道路段饱和度超限量；下层规划在干道路段能力、支路路段能力和饱和度的限制下进行平衡配流。提出了相应的遗传算法，并通过案例对比分析了单行交通组织优化前后干道及微循环道路上的交通状况，验证了微循环道路网单行交通组织优化的效果。该模型可应用在微循环交通网络中的单行交通组织，为单行交通组织提供优化方法。

关键词: 微循环交通, 单行交通组织, 双层规划优化模型, 遗传算法

Abstract: To effectively alleviate traffic pressure of urban arterial roads, optimizing one-way traffic organization is the key to bring micro-circulation transportation network into full play. Aiming at reducing the saturation of arterial roads and micro-circulation roads, the paper develops the bi-level programming model for optimizing one-way traffic organization with consideration of the maximum saturation restriction. The decision-making variable of the upper level programming is the scheme of one-way traffic organization of branch roads and the optimization targets are to minimize the average saturation of arterial roads and to minimize the excess of saturation over its maximum of arterial roads. The lower level programming is an equilibrium traffic assignment problem under the restrictions of the capacity of arterial roads and branch roads and the maximum saturation. The genetic algorithm is adopted to solve the model. The traffic conditions of arterial roads and micro-circulation roads before and after optimizing of one-way traffic organization were compared by an example, which also proves the effectiveness of one-way traffic organization of micro-circulation network. The proposed model provides an optimization method for one-way traffic organization of micro-circulation network.

Key words: micro-circulation transportation, one-way traffic organization, bi-level programming model, genetic algorithm

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