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首页> 外文会议>18th world congress on intelligent transport systems : Featuring its america's annual meeting and exposition >Impact of User Diversion Behavior on Work Zone Operation Optimization
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Impact of User Diversion Behavior on Work Zone Operation Optimization

机译：用户转移行为对工作区运营优化的影响

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As traffic and road maintenance requirements increase, transportation agencies face greatrnchallenges in developing effective work zone management plans which can efficientlyrnmitigate the negative impacts on traffic mobility and safety. To assist agencies in suchrnplanning work, this paper develops a model for jointly optimizing the major components of arnwork zone management plan, including the timing, duration, and configuration of lanernclosures as well as selection of various traffic impact mitigation strategies, such as detourrnplans. Because drivers’ diversion behavior may vary considerably under differentrncircumstances, the optimization model embeds three models for predicting time-varyingrndetour rates, including System Optimization Model (SO), User Equilibrium Model (UE), andrnLogit-based Route Choice Model (RC). A heuristic optimization algorithm, named two-stagernmodified population-based simulated annealing (2PBSA), is developed to search for arnnear-optimal solution.rnThe application of this proposed methodology is demonstrated through a hypotheticalrnresurfacing project on a hypothetical maintenance project on the north bound I-95 freeway inrnMaryland. Through the numerical experiments, we find that detour control, combined withrnefficient lane closure tactics, has great potential to mitigate the traffic impact and reducernproject cost. Its effectiveness significantly depends on the road users’ detour behavior as wellrnas the physical and traffic characteristics of the mainline and alternative routes.
机译：随着交通和道路维护需求的增加，运输机构在制定有效的工作区管理计划时面临着巨大的挑战，这些计划可以有效地减轻对交通运输和安全的负面影响。为了协助机构进行此类规划工作，本文开发了一个模型，用于共同优化网络区域管理计划的主要组成部分，包括行车道封闭的时间，持续时间和配置以及各种交通影响缓解策略的选择，例如de回计划。由于驾驶员的转向行为在不同的情况下可能会发生很大的变化，因此优化模型嵌入了三个模型来预测时变弯路率，包括系统优化模型（SO），用户平衡模型（UE）和基于Logit的路线选择模型（RC）。开发了一种启发式优化算法，称为两阶段改进的基于种群的模拟退火算法（2PBSA），以寻找最优的解决方案。该提议方法的应用通过在北边界I的一个假设维护项目上的一个假设表面改造项目得到了证明。 -95高速公路inrn马里兰。通过数值实验，我们发现de回控制与有效的车道封闭策略相结合，具有缓解交通影响和降低工程成本的巨大潜力。它的有效性在很大程度上取决于道路使用者的绕行行为，以及主干线和替代路线的物理和交通特性。

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