交通运输系统工程与信息 ›› 2021, Vol. 21 ›› Issue (5): 30-39.

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基于网络交通分配方法族谱的交通分配 一体化技术与工程应用

王炜a,b,王建* a,b,华雪东a,b,于维杰a,b,陈思远a,b,魏雪延a,b   

  1. 东南大学,a. 城市智能交通江苏省重点实验室;b. 现代城市交通技术协同创新中心,南京210096
  • 收稿日期:2021-03-08 修回日期:2021-05-02 接受日期:2021-05-25 出版日期:2021-10-25 发布日期:2021-10-20
  • 作者简介:王炜(1959- ),男,浙江绍兴人,教授,博士。
  • 基金资助:
    国家自然科学基金

A Unified Traffic Assignment Method and Application Based on Network Assignment Genealogy

WANG Weia,b , WANG Jian* a,b , HUA Xue-donga,b , YU Wei-jiea,b , CHEN Si-yuana,b , WEI Xue-yana,b   

  1. a. Jiangsu Key Laboratory of Urban ITS; b. Collaborative Innovation Center of Modern Urban Traffic Technologies, Southeast University, Nanjing 210096, China
  • Received:2021-03-08 Revised:2021-05-02 Accepted:2021-05-25 Online:2021-10-25 Published:2021-10-20
  • Supported by:
    National Natural Science Foundation of China

摘要: 为满足交通规划、建设与管理等应用场景对交通分配多样化的需求,结合目前交通分配方 法族谱中的众多模型与方法,本文构建能够满足族谱中所有交通分配特征的一体化交通分配技 术框架,提出交通网络交通分配一体化技术体系,并将该体系嵌入交通分析平台软件“交运之星- TranStar”中。该技术体系包括:“模型关键参数”“交通阻抗函数”“交通网络交通分配基础模型与 快速算法”3部分模块组合的分析模型一体化;面向步行、自行车、机动车及公共交通等多模式交 通网络的分析对象一体化;针对城市土地开发,交通网络建设,交通管理控制,公共交通系统,以 及交通政策制定等应用场景一体化。选取南京市道路网络和公交网络进行实证分析。结果表 明,本文提出的交通分配一体化技术具有处理超万节点多模式交通网络的能力,对各类交通模 式、典型业务场景的分析结果可为城市交通系统规划、建设与管理提供决策支持。

关键词: 城市交通, 交通分配一体化, 交通系统分析, 多模式网络, 并行计算, 交运之星

Abstract: Considering the diverse needs of traffic assignment method applications in transportation planning, construction, and management, this study developed a unified traffic assignment method and framework that incoproate most of the commonly- used traffic assignment methods in traffic system analysis. This technique framework is embedded into the traffic analysis software "TranStar". The framework systematically integrates three modules, including "key model parameters", "traffic impedance function", and "basic traffic network traffic assignment models and corresponding algorithms". The proposed method can be used in a unified multi- modal transportation network which includes walking, biking, automous vehicles, and public transit. The proposed method also supports a unified application for urban planning, transportation infrastructure construction, traffic management and control, public transit system, and traffic policy design. The numerical application of the proposed methods in the road network and the transit network of Nanjing city shows that the unified traffic assignment method performs well when analyzing the multimodal transportation networks with over 10000 nodes, and the predicted multi- modal network flow under different scenarios provide valuable references for urban transportation system planning, construction and management.

Key words: urban traffic, unified traffic assignment method, traffic system analysis, multi-modal network, parallel computing, TranStar

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