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Bilevel Programming Approach for Public-Private-Partnership Highway Network Design with Fuzzy Parameters

机译:具有模糊参数的公私合营公路网络设计的双层规划方法

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摘要

In recent years, public-private partnership (PPP) has been widely applied in the development of transportation improvements since it was originated in U.K. in 1992. Especially it has obtained huge success in toll highway development with the application in Chile as a successful paradigm. In PPP highway projects, how to balance the interests of the relevant stakeholder, mainly consisting of the government, the private sector and the public, is a very important and rather difficult task. In this paper, we attempt to discuss the PPP highway network design problem to balance the stakeholder interests via determining the optimal toll and capacity subject to fuzzy demands, which is actually a bilevel multiobjective optimization problem. To solve the problem, an approach integrating fuzzy simulation method, a traffic assignment algorithm, a bilevel programming method and genetic algorithm (GA) is designed. Finally, a case study of PPP highway development in Yunnan Province of South China is given.
机译:近年来,公私合作伙伴关系(PPP)自1992年起源于英国以来,已广泛应用于改善交通运输的发展中。尤其是在收费公路发展方面取得了巨大成功,在智利的成功应用是其成功范例。在PPP高速公路项目中,如何平衡主要由政府,私营部门和公众组成的相关利益相关者的利益是一项非常重要且非常困难的任务。在本文中,我们试图讨论PPP公路网设计问题,以通过确定模糊需求下的最优通行费和通行能力来平衡利益相关者的利益,这实际上是一个双层多目标优化问题。为了解决该问题,设计了一种融合模糊仿真方法,交通分配算法,双层规划方法和遗传算法(GA)的方法。最后,以华南云南省PPP公路发展为例。

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