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首页> 外文期刊>Computer-Aided Civil and Infrastructure Engineering >Design And Management Strategies For Mixed Public Private Transportation Networks: A Meta-heuristic Approach
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Design And Management Strategies For Mixed Public Private Transportation Networks: A Meta-heuristic Approach

机译:混合公共私人交通网络的设计和管理策略:一种元启发式方法

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摘要

This article presents a new multi-objective mathematical programming framework to model interactions between public and private sector in constructing and maintaining highway networks using the build, operate, and transfer scheme. In this study, private companies are assumed to have a degree of control over highway sections on which they perform maintenance and rehabilitation and capacity expansion activities. The private investors recover the cost of construction by levying tolls. The public agency is assumed to maintain the rest of the network with the objective of minimizing total system generalized cost. The bi-directional impact of roadway utilization on deterioration and deterioration on utilization is modeled in this study. The model accounts for route choice of users and all users are assumed to choose routes that have equal and minimal experienced generalized cost. The nonconvex and discontinuous multi-objective mathematical program is solved using nondominant sorting genetic algorithm-II and the pareto-optimal trade-off surface between the profit of thernprivate company and the total system cost is generated. Computational runs are conducted to demonstrate the suitability and flexibility of the developed framework in modeling various policy decisions such as the presence of noncompete clauses.
机译:本文提出了一种新的多目标数学编程框架,该模型可使用构建,运营和转移方案在构建和维护公路网时对公共部门和私营部门之间的交互进行建模。在这项研究中,假定私营公司对高速公路路段具有一定程度的控制权,并在这些高速公路路段上进行维护,修复和扩能活动。私人投资者通过征收通行费来收回建设成本。假定公共机构维护网络的其余部分,以使总的系统广义成本最小化。本研究对道路利用对恶化的双向影响以及对利用的恶化进行了建模。该模型考虑了用户的路由选择,并且假定所有用户都选择具有相等且最小的通用成本的路由。使用非显性排序遗传算法-II求解非凸和不连续的多目标数学程序,并得出私有公司的利润与系统总成本之间的最优对等曲面。进行计算运行是为了证明已开发框架在对各种政策决策(例如不竞争条款的存在)建模时的适用性和灵活性。

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