交通运输系统工程与信息 ›› 2020, Vol. 20 ›› Issue (2): 101-106.

• 系统工程理论与方法 • 上一篇    下一篇

城市快速路分层分布式优化控制方法研究

江竹*1a, 1b,林豪1a,李树彬2,雷震宇3   

  1. 1. 西华大学a. 能源与动力工程学院,b. 流体及动力机械教育部重点实验室,成都 610039;2. 山东警察学院交通管理工程系,济南 250014;3. 同济大学铁道与城市轨道交通研究院,上海 201804
  • 收稿日期:2019-12-02 修回日期:2020-01-01 出版日期:2020-04-25 发布日期:2020-04-30
  • 作者简介:江竹(1979-),女,四川人,副教授,博士.
  • 基金资助:

    西华大学汽车工程四川省高校重点实验室开放基金/Open Found of Key Laboratory of Automotive Engineering of Sichuan Province(szjj2017-014);西华大学研究生创新基金/ Xihua University Graduate Innovation Fund(ycjj2019043);流体及动力机械教育部重点实验室开放基金/Open Research Subject of Key Laboratory (Research Base)(SZJJ2015-034).

Hierarchical and Distributed Optimal Control Research on Urban Freeway Network

JIANG Zhu1a, 1b, LIN Hao1a, LI Shu-bin2, LEI Zhen-yu3   

  1. 1a. School of Energy and Power Engineering, 1b. Key Laboratory of Fluid and Power Machinery, Ministry of Education, Xihua University, Chengdu 610039, China; 2. Department Traffic Management Engineering, Shandong Police College, Jinan 250014, China; 3. Institute of Rail Transit, Tongji University, Shanghai 201804, China
  • Received:2019-12-02 Revised:2020-01-01 Online:2020-04-25 Published:2020-04-30

摘要:

针对城市快速路控制系统对实时道路交通状况不能及时、有效地响应问题,利用时变的交通状态估计与OD矩阵预测信息,基于智能交通控制及分层分布式思想,提出一个新颖的城市快速路匝道控制方法. 采用基于多项式趋势模型的滤波方法对路段总的交通需求进行估计与预测,提前确定道路将来排队长度的上界;对快速路网未来的交通状态进行预测,基于全局最优的思想,提前为路网中各个匝道建立协调约束,为匝道调节率的制定提供依据. 仿真结果表明,分层分布式的快速路控制系统通过协调各个匝道之间的利益,能够有效缓解高峰出行时的拥堵现象,对实现城市快速路网整体性能优化具有现实意义.

关键词: 智能交通, 全局最优, 多项式滤波, 城市快速路, 分层分布式, 多匝道协调

Abstract:

In order to solve the problem that the current urban freeway control system cannot make a timely and effective response to the real-time road traffic situation. Based on information of time-varying traffic state estimation and OD matrix prediction, according to the intelligent transportation and the distributed and hierarchy idea, a novel optimal control strategy on urban freeway is proposed. Firstly, the total traffic demands in a long time was predicted in advance by polynomial trend filtering, and the upper bound of the future queue length was made; Secondly, the future traffic state was predicted and the harmonious restrictions for each ramp were built based on global optimum to make a reference for ramp rate. The simulation results show that the hierarchical and distributed optimal control system can effectively alleviate the congestion by coordinating the interests of each ramp. It has certain practical significance to optimize the overall performance of urban expressway network.

Key words: intelligent transportation, area-wide optimal, polynomial filtering, urban freeway, hierarchical distribution, multi-ramp coordination

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