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首页> 外文期刊>Transportation Research Part B: Methodological >A bottom-up optimal pavement resurfacing solution approach for large-scale networks
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A bottom-up optimal pavement resurfacing solution approach for large-scale networks

机译：适用于大型网络的自下而上的最佳路面重铺解决方案

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摘要

Pavement management systems have been implemented across the world by transportation agencies in recent decades. To support these applications, increasingly sophisticated methods have been developed to model pavement deterioration and solve for optimal management strategies. Recently a simpler optimization approach for the system-level resurfacing problem has been developed, which is bottom-up rather than top-down, preserving facility-specific features to develop informative budget allocation results (Sathaye and Madanat, 2011). In this paper we expand upon and enhance this approach for application to large-scale, heterogeneous road networks. The methodological enhancements allow for the approach to be applied to a broader spectrum of real-world problems and efficiently for large-scale networks. These developments are implemented and presented in a case study which uses empirical models. The results are shown to be robust to deterioration model uncertainty, which is consistent with previous findings for small networks and single facilities.
机译：近几十年来，交通运输机构已在全球范围内实施了路面管理系统。为了支持这些应用，已经开发了越来越复杂的方法来对路面劣化建模并解决最佳管理策略。最近，针对系统级表面重铺问题开发了一种更简单的优化方法，该方法是自下而上而不是自上而下的，保留了特定于工厂的功能以开发信息丰富的预算分配结果（Sathaye和Madanat，2011年）。在本文中，我们将扩展并增强这种方法，以应用于大型异构道路网络。方法上的增强使该方法可以应用于更广泛的现实问题中，并可以有效地用于大规模网络。在使用经验模型的案例研究中实现并提出了这些发展。结果表明，该模型对于恶化模型的不确定性具有鲁棒性，这与先前针对小型网络和单一设施的发现一致。

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