多车型高速公路BOT项目的最佳路径选址和结合距离的最优收费-黑人巨大精品欧美_黑人巨大精品欧美黑寡妇_黑人巨大精品欧美一区二区_黑人巨大精品欧美一区二区免费_黑人巨大跨种族video_黑人巨大无码中文字幕无码_黑人巨茎大战俄罗斯美女_黑人巨茎大战俄罗斯美女

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    多车型高速公路BOT项目的最佳路径选址和结合距离的最优收费

    2016.07.05

    投稿:沈洁部门:管理学院浏览次数:

    活动信息

    时间: 2016年07月11日 15:00

    地点: 校本部东区管理学院467会议室

    上海管理论坛第195期(孟强教授,新加坡国立大学

     

      目:多车型高速公路BOT项目的最佳路径选址和结合距离的最优收费

    演讲人:孟强  新加坡国立大学教授

    主持人:镇璐  黑人巨大精品欧美_黑人巨大精品欧美黑寡妇_黑人巨大精品欧美一区二区_黑人巨大精品欧美一区二区免费_黑人巨大跨种族video_黑人巨大无码中文字幕无码_黑人巨茎大战俄罗斯美女_黑人巨茎大战俄罗斯美女管理学院教授

      :2016711日(周一)下午3:00

      :校本部东区管理学院467

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    演讲内容简介:

    Private provision of the highways through the build-operate-transfer (BOT) scheme has become one of the effective ways to expand the city-to-city transportation networks in many countries. This study deals with the practical planning problem regarding how to determine the route locations and toll charges of multi-type vehicles for a new BOT highway in a city-to-city transportation network. A nice formulation based on the binary decision variables is presented to express a feasible BOT rout by making use of the Miller-Trucker-Zemlin (MTZ) technique proposed for the travelling salesman problem. Besides, a uniform distance-based toll charge scheme is selected on this BOT route with multi-type vehicles by assuming that the unit toll charges take the discrete values.

    Based on the above problem settings, a bi-level programming model is developed for the proposed problem, where the upper-level model aims to maximize the social network welfare with the project profit constraints while the lower-level model is a conventional multiple-vehicle-type user equilibrium (MUE) problem.  A tailed Branch and Cut (BC) relaxation based algorithm are designed for solving the bi-level programming model. In this algorithm, the bi-level programming model is firstly relaxed to a single objective convex programing model by utilizing the tightest convex lower bound of for the bilinear functions, and it is further related to a mixed integer linear programming model. It can be demonstrated that the global optimal solution of the bi-level programming model is guaranteed when the lower bound of the network social welfare of the unexplored solution is not less than the network social welfare of a known MUE solution. Finally, two numerical examples are conducted to assess the efficiency of the models and algorithm proposed by this study.

     

    演讲人简介:

    新加坡国立大学土木工程系教授(终身教授)

    香港科技大学博士;

    研究领域包括: 交通网络建模与优化、货运交通和物流网络分析、交通设施计量风险评估等领域,近年来在航海运输线路优化等新兴学术方向也走到全世界的前沿。在交通和航海运输线路优化领域的国际顶级期刊发表学术论文130多篇,部分研究成果已成功应用于交通和航海工业中。现任国际著名期刊Transportation Research Part B, Journal of Transportation Engineering (ASCE) and Transportation Research Part E副主编。

     

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