A Data-driven Opportunity Identification Engine for Collaborative Freight Logistics Based on a Trailer Capacity Graph

Jianlin Luan, Nicolò Diana, Kristian Hegner Reinau, Aruna Sivakumar, John W. Polak

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

Abstract

A novel data-driven engine for identifying trailer capacity sharing opportunities during shipment planning stages is developed for providing a practical solution for collaborative freight logistics. The engine is based on a novel trailer capacity graph (TCG) that describes the real-time trailer capacity status of all collaborating partners. Compared with previous methods that replying on OD of shipments and trailer trips, the application of a TCG enables this engine to match shipments with both the OD and the route of trailer trips. Moreover, special treatments of a TCG, namely trailer route approximation and route shape simplification, dramatically reduce the computational cost, which makes this engine extendable for serving more than two collaborating partners in real-time. Experiments using this engine based on real-world data provided by two companies first illustrate that users of this engine should be aware that the configuration of the treatments of TCG is a trade-off between computational performance and effectiveness in identifying opportunities. Secondly, experiment results suggest that this two-partners collaboration implies an imbalance favourable towards the smaller operator. However, this unfavourable imbalance for the larger operator is likely to reduce as the number of operators joining the collaboration increases.
Original languageEnglish
Title of host publicationTransport Research Board Annual Meeting 2020
PublisherThe National Academy of Sciences of the United States of America
Publication date2020
Article number20-01811
Publication statusPublished - 2020
EventTransportation Research Board (TRB) 99th Annual Meeting 2020 - Washington DC, Washington DC, United States
Duration: 12 Jan 202016 Jan 2020
http://www.trb.org/AnnualMeeting/AnnualMeeting.aspx

Conference

ConferenceTransportation Research Board (TRB) 99th Annual Meeting 2020
LocationWashington DC
CountryUnited States
CityWashington DC
Period12/01/202016/01/2020
Internet address

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