Dray-Q: demand-dependent trailer repositioning using deep reinforcement learning

From National Research Council Canada

DOIResolve DOI: https://doi.org/10.1016/j.trc.2024.104641
AuthorSearch for: ORCID identifier: https://orcid.org/0000-0002-7631-3738; Search for: ORCID identifier: https://orcid.org/0000-0002-2320-954X; Search for: ORCID identifier: https://orcid.org/0000-0001-7870-9448; Search for:
FunderSearch for: National Research Council of Canada; Search for: National Sciences and Engineering Research Council of Canada (NSERC)
FormatText, Article
Subjectdeep reinforcement learning; trailer repositioning; Drayage operations; pickup and delivery; just-in-time inventory
Publication date
Peer reviewedYes
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Record identifier64e2b7f8-7370-435d-ad26-4dde08363754
Record created2024-05-23
Record modified2024-06-04
Date modified: