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

C. Caballini, Ilaria Rebecchi, S. Sacone
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Abstract

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.
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通过组合行程和确定运营商联盟规模,实现公路运营商利润最大化
本文主要研究道路运输网络中的横向合作问题。属于一组组成联盟的运营商的不同公路旅行是共享的,最终目标是运营商的利润最大化。联盟中的航空公司数量越多,获得盈利旅行组合的可能性越大;然而,这也使得管理联盟的持续成本增加。在本工作中,采用基于优化的方案,以进一步提高联盟利润为最终目标,获得合适的运营商联盟规模。首先,建立了一个数学模型,目标是找到最佳的行程组合,以使执行行程的总成本最小化。然后,建立了第二个数学模型,以便为承运人分配组合行程和单次行程。针对参与联盟的不同载体数量,对第二次优化问题进行多次求解,以确定最佳联盟规模。基于真实数据集的实验活动验证了所提出的方法。分析了考虑不同行程数和不同联盟管理成本值的各种情况。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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