交通运输系统工程与信息 ›› 2018, Vol. 18 ›› Issue (1): 66-72.

• 智能交通系统与信息技术 • 上一篇    下一篇

基于Robertson 模型的异质交通流车队离散研究

姚志洪a, b,蒋阳升* a, b   

  1. 西南交通大学 a. 交通运输与物流学院;b. 综合交通运输智能化国家地方联合工程实验室,成都 610031
  • 收稿日期:2017-05-31 修回日期:2017-11-01 出版日期:2018-02-25 发布日期:2018-02-26
  • 作者简介:姚志洪(1991-),男,安徽安庆人,博士生.
  • 基金资助:

    国家自然科学基金/National Natural Science Foundation of China(51578465, 71402149, 71771190);复杂城市环 境下综合交通枢纽成套技术研究/ Packaged Technology Research of Integrated Transport Hub in the Urban Complex Environment (cstc2014yykfB30003);西南交通大学优秀博士学位论文培育项目/ Cultivation Program for the Excellent Doctoral Dissertation of Southwest Jiaotong University (A0920502051703-2).

Heterogeneous Traffic Flow Platoon Dispersion Based on Robertson Model

YAO Zhi-hong a, b, JIANG Yang-sheng a, b   

  1. a. School of Transportation and Logistics; b. National United Engineering Laboratory of Integrated and Intelligent Transportation, Southwest Jiaotong University, Chengdu 610031, China
  • Received:2017-05-31 Revised:2017-11-01 Online:2018-02-25 Published:2018-02-26

摘要:

为充分描述异质交通流条件下的车队离散规律,为信号协调控制提供理论基础,结 合异质交通流条件下的车流特征和Robertson 模型计算速度快的优点,对多股交通流分别建 模,并在此基础上构建异质交通流车队流量离散模型.通过实际调查数据,分析下游交叉口到 达流率分布与上游交叉口离去流率分布之间的关系,并将本文模型和Robertson 模型与实际 数据进行比较分析.结果表明,与Robertson 模型相比,本文模型能够更好地描述异质交通流条 件下的车队离散规律,平均预测均方误差减少了8.29%.

关键词: 交通工程, 车队离散模型, 异质交通流, 行程时间, 协调控制

Abstract:

To describe the law of platoon dispersion under the condition of heterogeneous traffic flow adequately, and provide theoretical support for traffic signal coordination, the characteristic of heterogeneous traffic flow and the virtue of fast calculation of Robertson' s model are considered. Then, a heterogeneous traffic flow platoon dispersion model is proposed based on modeling the multi different traffic flow. Later, the relationship of the arrival flow rate of the downstream intersection and the depart flow rate of the upstream intersection is analyzed using the proposed model by field collected data, with comparison to those of Robertson model and the actual data. The results show that, the proposed model can better describe the law of dispersion in heterogeneous traffic flow, and the mean squared error of prediction is reduced by about 8.29%, compared with Robertson model.

Key words: traffic engineering, platoon dispersion model, heterogeneous traffic flow, travel time, signal coordination

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