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Large-scale evacuation network optimization: a bi-level control method with uncertain arterial demand

机译：大型疏散网络的优化：动脉需求不确定的双层控制方法

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摘要

To improve the efficiency of large-scale evacuations, a network aggregation method and a bi-level optimization control method are proposed in this paper. The network aggregation method indicates the uncertain evacuation demand on the arterial sub-network and balances accuracy and efficiency by refining local road sub-networks. The bi-level optimization control method is developed to reconfigure the aggregated network from both supply and demand sides with contraflow and conflict elimination. The main purpose of this control method is to make the arterial sub-network to be served without congestion and interruption. Then, a corresponding bi-objective network flow model is presented in a static manner for an oversaturated network, and a Genetic Algorithm-based solution method is used to solve the evacuation problem. The numerical results from optimizing a city-scale evacuation network for a super typhoon justify the validity and usefulness of the network aggregation and optimization control methods.
机译：为了提高大规模疏散的效率，提出了一种网络聚合方法和双层优化控制方法。网络聚合方法指示了对动脉子网的不确定的疏散需求，并通过优化本地道路子网来平衡准确性和效率。开发了双层优化控制方法，以从供应和需求两方面重新配置聚合网络，同时实现逆流和冲突消除。这种控制方法的主要目的是使动脉子网能够在不发生拥塞和中断的情况下得到服务。然后，针对超饱和网络以静态的方式给出了相应的双目标网络流模型，并使用基于遗传算法的求解方法解决了疏散问题。优化超级台风的城市规模疏散网络的数值结果证明了网络聚集和优化控制方法的有效性和实用性。

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  • 来源
    《Transportation planning and technology》 |2015年第7期|777-794|共18页
  • 作者

    Hua Jingyi; Ren Gang; Cheng Yang; Yu Chen; Ran Bin;

  • 作者单位

    Minist Publ Secur, Traff Management Res Inst, Traff Technol, Wuxi 214151, Peoples R China|Jiangsu Collaborat Innovat Ctr Modern Urban Traff, Nanjing 210096, Jiangsu, Peoples R China;

    Southeast Univ, Jiangsu Key Lab Urban ITS, Nanjing 210096, Jiangsu, Peoples R China|Jiangsu Collaborat Innovat Ctr Modern Urban Traff, Nanjing 210096, Jiangsu, Peoples R China;

    Univ Wisconsin Madison, Dept Civil & Environm Engn, Madison, WI 53706 USA;

    Southeast Univ, Jiangsu Key Lab Urban ITS, Nanjing 210096, Jiangsu, Peoples R China|Jiangsu Collaborat Innovat Ctr Modern Urban Traff, Nanjing 210096, Jiangsu, Peoples R China;

    Univ Wisconsin Madison, Dept Civil & Environm Engn, Madison, WI 53706 USA;

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  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    conflict elimination; contraflow; Emergency evacuation; optimization; Genetic Algorithm; network aggregation;

    机译：冲突消除逆流紧急疏散优化遗传算法网络聚合;

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