A data-based opportunity identification engine for collaborative freight logistics based on a trailer capacity graph

作者：

Highlights：

• A new approach based on a trailer capacity graph for matching shipments and trailer trips.

• A data-based engine for identifying real-time horizontal freight collaboration opportunities.

• Approximating and simplifying routes enables balancing between the computational performance and the effectiveness.

• This approach identifies many more opportunities than the traditional OD-based matching approach.

• Enhanced efficiencies via collaborative logistics are possible using a pure data-based approach.

摘要

•A new approach based on a trailer capacity graph for matching shipments and trailer trips.•A data-based engine for identifying real-time horizontal freight collaboration opportunities.•Approximating and simplifying routes enables balancing between the computational performance and the effectiveness.•This approach identifies many more opportunities than the traditional OD-based matching approach.•Enhanced efficiencies via collaborative logistics are possible using a pure data-based approach.

论文关键词：Collaborative freight logistics,Data-based,Real-time,Large-scale,Trailer capacity graph

论文评审过程：Received 6 February 2021, Revised 29 July 2022, Accepted 7 August 2022, Available online 11 August 2022, Version of Record 24 August 2022.

论文官网地址：https://doi.org/10.1016/j.eswa.2022.118494