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基于ALINEA算法的城市快速路匝道控制方法

乔彦甫 赵斌 方传武 姚志洪

乔彦甫, 赵斌, 方传武, 姚志洪. 基于ALINEA算法的城市快速路匝道控制方法[J]. 西南交通大学学报, 2017, 30(5): 1001-1007. doi: 10.3969/j.issn.0258-2724.2017.05.022
引用本文: 乔彦甫, 赵斌, 方传武, 姚志洪. 基于ALINEA算法的城市快速路匝道控制方法[J]. 西南交通大学学报, 2017, 30(5): 1001-1007. doi: 10.3969/j.issn.0258-2724.2017.05.022
QIAO Yanfu, ZHAO Bin, FANG Chuanwu, YAO Zhihong. Study of Ramp Control Method for Urban Expressways Using Improvised ALINEA Algorithm[J]. Journal of Southwest Jiaotong University, 2017, 30(5): 1001-1007. doi: 10.3969/j.issn.0258-2724.2017.05.022
Citation: QIAO Yanfu, ZHAO Bin, FANG Chuanwu, YAO Zhihong. Study of Ramp Control Method for Urban Expressways Using Improvised ALINEA Algorithm[J]. Journal of Southwest Jiaotong University, 2017, 30(5): 1001-1007. doi: 10.3969/j.issn.0258-2724.2017.05.022

基于ALINEA算法的城市快速路匝道控制方法

doi: 10.3969/j.issn.0258-2724.2017.05.022
基金项目: 

国家自然科学基金资助项目(51578465,71402149)

重庆市应用开发计划重点资助项目(cstc2014yykfB30003,2015H01373)

详细信息
    作者简介:

    乔彦甫(1977-),男,博士研究生,研究方向交通运输规划与管理,E-mail:joe2194@126.com

Study of Ramp Control Method for Urban Expressways Using Improvised ALINEA Algorithm

  • 摘要: 为解决传统的ALINEA(asservissement linéaire d'entrée autoroutière)匝道控制算法未考虑城市快速路入口匝道排队溢出,造成关联交叉口交通拥堵等问题,在经典的ALINEA匝道控制算法的基础上,提出了一种新的基于主干道车流量预测的城市快速路入口匝道控制方法.该方法采用遗传算法优化的小波神经网络来预测城市快速路交通流量;引入主干道车流可插入间隙和匝道排队分级控制原则,实现了对城市快速路入口匝道控制率的动态调节.通过微观仿真实验比较两种算法的控制效果.结果表明:与传统的ALINEA匝道控制算法相比,新的控制方法不仅能够有效保证主线交通通行能力,同时还使匝道平均旅行时间减少了24.8%.

     

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出版历程
  • 收稿日期:  2016-08-25
  • 刊出日期:  2017-10-25

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