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Optimal policies for greenhouse gas emission minimization under multiple agency budget constraints in pavement management

机译:道路管理中多个机构预算约束下的温室气体排放最小化优化政策

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Greenhouse gas emissions reduction has garnered special importance in recent times in the transportation sector, including pavement design and management. In this study, we incorporate this environmental objective in pavement management. We present an optimization problem to minimize GHG emissions under multiple budget constraints by determining joint management strategies for a range of heterogeneous interventions, including maintenance, rehabilitation and reconstruction. We propose a computationally efficient bottom-up solution algorithm, which is built on Lagrangian Relaxation and Dynamic Programming. Finally, we apply our findings to a real-world highway network in California, where the results show a potential GHG emissions reduction of 20% through an increased combined budget of 35% on the Pareto frontier. (C) 2017 Elsevier Ltd. All rights reserved.
机译:近年来,在交通运输领域,包括人行道的设计和管理中,减少温室气体排放已变得尤为重要。在这项研究中,我们将环境目标纳入路面管理中。我们通过为多种干预措施(包括维护,修复和重建)确定联合管理策略,提出了一个在多个预算约束下最大程度减少温室气体排放的优化问题。我们提出了一种基于拉格朗日松弛法和动态规划法的高效计算自下而上的求解算法。最后,我们将研究结果应用于加利福尼亚州的真实世界的高速公路网,结果表明,通过增加帕累托边界的35%的总预算,潜在的温室气体排放量可减少20%。 (C)2017 Elsevier Ltd.保留所有权利。

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