LaCAVR:负载和约束感知车辆重新路由

D. Bis, Noah Bix, Benjamin Gruman, S. Guenette, Adam Hauge, Hannah Moser, Jimmy Paul, Goce Trajcevski
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引用次数: 0

摘要

我们提出了一个原型系统,用于在交通异常可能需要(一些)卡车改变路线的情况下有效管理运输车队。不可预见的拥堵(例如,由于事故)可能会影响用于计算特定卡车路线的路段的平均速度。传统的(重新)路由方法的主要目标是找到到达相同目的地的新最短路线,但在交通环境变化的情况下,我们加入了两个额外的约束。也就是说,我们的目标是在尽量减少因司机加班费而产生的额外费用和最大限度地提高卡车上仍然可用的货物的交付之间取得平衡,可能通过改变原来的目的地。该项目是与一个实际的行业合作伙伴一起开发的,主要业务是管理办公室食品室、厨房和咖啡厅的用品。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
LaCAVR: Load and Constraints Aware Vehicle Rerouting
We present a prototype system for effective management of a delivery fleet in the settings in which the traffic abnormalities may necessitate rerouting of (some of) the trucks. Unforeseen congestions (e.g., due to accidents) may affect the average speed along road segments that were used to calculate the routes of a particular truck. Complementary to the traditional (re) routing approaches where the main objective is to find the new shortest route to the same destination but under the changed traffic circumstances, we incorporate two additional constraints. Namely, we aim at striking a balance between minimizing the additional expenses due to drivers overtime pay and maximizing the delivery of the goods still available on the truck's load, possibly by changing the original destinations. The project is developed with an actual industry partner with main business of managing supplies for office pantries, kitchens and cafés.
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