系统仿真学报 ›› 2018, Vol. 30 ›› Issue (3): 1036-1045.doi: 10.16182/j.issn1004731x.joss.201803034

• 仿真应用工程 • 上一篇    下一篇

高速公路临时路肩使用措施优化控制与仿真

李瑞敏1,2, 叶朕1,2, 李斌3   

  1. 1.清华大学土木工程系,北京 100084;
    2.国家道路交通管理工程技术研究中心,北京 100084;
    3.交通运输部公路科学研究院智能交通技术交通行业重点实验室,北京 100088
  • 收稿日期:2016-03-07 出版日期:2018-03-08 发布日期:2019-01-02
  • 作者简介:李瑞敏(1979-),男,山东莱州,博士,副教授,研究方向为智能交通系统、交通规划与管理、交通仿真。
  • 基金资助:
    国家科技支撑计划(2014BAG01B03),北京市自然科学基金(8162024)

Optimal Control and Simulation of Hard Shoulder Running on Highways

Li Ruimin1,2, Ye Zhen1,2, Li Bin3   

  1. 1.Department of Civil Engineering, Tsinghua University, Beijing 100084, China;
    2.Chinese National Traffic Management Engineering Research Center, Beijing 100084, China;
    3.Key Laboratory of Technology on Intelligent Transportation Systems Research Institute of Highway, Beijing 100088, China
  • Received:2016-03-07 Online:2018-03-08 Published:2019-01-02

摘要: 总结临时路肩使用措施所存在的问题,提出了基于网络总行程时间最小化的高速公路临时路肩使用措施优化模型。以高速公路METAENT宏观动态交通流模型为基础,利用遗传算法及滑动时间窗来预测优化路肩在不同约束条件和目标函数下的开启和关闭问题。选择美国加利福尼亚州I-80E高速公路进行实例分析。结果表明,一次时间窗(10 min)内所有路段路肩控制变量变化不大于14次且可关闭路肩的权重系数为0.5时,网络总行程时间减少30.61%。总行程时间值比全仿真时间内开放路肩或超过一定流量阈值开放路肩的总行程时间更小,控制效果更为理想。

关键词: 主动交通管理, 临时路肩使用, METANET交通流模型, 最优控制

Abstract: This paper summarizes the problems in the operation of hard shoulder running (HSR). A new algorithm for optimizing HSR on highways is proposed, which aims to minimize the total time spent (TTS) in the whole network. Based on the METANET model of highways, the algorithm utilizes genetic algorithm and sliding windows technique to forecast and optimize the operation of HSR under different constraint conditions and target functions. The strategy is tested on the I-80E highway in California. The experimental results show that when the change frequency of HSR is less than or equal to 14 during a sliding window and the weight coefficient of the closure is 0.5, the TTS is reduced by 30.61%, which is better than TTS of all-time operation or during the volumes exceed a predetermined threshold.

Key words: active traffic management, hard shoulder running, METANET, optimal control

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