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Preserving an aging transit fleet: An optimal resource allocation perspective based on service life and constrained budget

机译:保护老化的运输车队:基于使用寿命和预算有限的最佳资源分配视角

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Local, county and state level transit agencies with large fleets of buses and limited budgets seek a robust fund allocation mechanism to maintain service standards. However, equitable and optimal fund allocation for purchasing, operating and maintaining a transit fleet is a complex process. In this study, we develop an optimization model for allocation of funds among different fleet improvement programs within budget constraints over the planning period. This is achieved by minimizing the net present cost (NPC) of the investment within the constraint of a minimum level of fleet quality expressed as a surrogate of the remaining life of the fleet. Integer programming is used to solve the formulated optimization problem using branch and bound algorithm. The model formulation and application are demonstrated with a real world case study of transit agencies. It is observed that minimizing NPC provides a realistic way to allocate resources between different program options among different transit agencies while maintaining a desired quality level. The proposed model is generalized and can be used as a resource allocation tool for transit fleet management by any transit agency.
机译:拥有大型公交车队且预算有限的地方,县和州一级的运输机构寻求稳健的资金分配机制来维持服务水平。但是,购买,运营和维护过境车队的公平,最佳的资金分配是一个复杂的过程。在这项研究中,我们开发了一个优化模型,用于在计划期内在预算限制内的不同机队改进计划之间分配资金。这是通过在表示车队剩余寿命的最小车队质量水平的限制内将投资的净现值(NPC)最小化来实现的。整数编程用于使用分支定界算法解决公式化的优化问题。该模型的制定和应用通过运输机构的真实案例研究得到了证明。可以看到,使NPC最小化提供了一种现实的方式,可以在保持所需质量水平的同时,在不同运输机构之间的不同计划选项之间分配资源。所提出的模型是通用的,可以用作任何运输机构管理运输车队的资源分配工具。

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