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Maximizing road carriers profit by combining trips and sizing the carrier coalition

机译:通过结合行程和确定承运人联盟来最大程度地提高公路承运人的利润

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In the present paper the issue of horizontal cooperation in a road transportation network is tackled. Different road trips belonging to a set of carriers that form a coalition are shared, with the final goal of maximizing the carriers' profit. The higher the number of carriers belonging to the coalition, the greater the possibility of obtaining profitable trip combinations; however, this makes also the cost sustained for managing the coalition increase. In this work, the proper size of the carrier coalition with the final goal of further improving the coalition profit is obtained by using an optimization based scheme. At first, a mathematical model is formulated with the goal of finding the best trip combinations to minimize the total costs for performing trips. Then, a second mathematical model is stated in order to assign both combined and single trips to carriers. This second optimization problem is solved several times for different number of carriers participating to the coalition in order to determine the best coalition size. An experimental campaign based on real data sets has been performed to validate the proposed approach. Various instances considering different number of trips and different values of the coalition management cost have been analyzed.
机译:在本文中,解决了道路运输网络中的横向合作问题。共享属于一个组成联盟的运输公司的不同的公路旅行,其最终目标是使运输公司的利润最大化。属于联盟的承运人数量越多,获得可获利的旅行组合的可能性就越大;但是,这也使得管理联盟的成本持续增加。在这项工作中,通过使用基于优化的方案来获得航母联盟的适当规模,以进一步提高联盟利润为最终目标。首先,建立一个数学模型,其目的是找到最佳的出行组合,以最大程度地减少进行出行的总成本。然后,说明第二个数学模型,以便将组合行程和单程行程分配给承运人。对于参与联盟的不同数量的载具,此第二个优化问题已解决了几次,以确定最佳联盟规模。已经进行了基于真实数据集的实验性活动以验证所提出的方法。分析了各种情况,其中考虑了不同的旅行次数和联盟管理成本的不同值。

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