Please use this identifier to cite or link to this item:
http://hdl.handle.net/10397/106052
DC Field | Value | Language |
---|---|---|
dc.contributor | Department of Electrical and Electronic Engineering | en_US |
dc.contributor | Department of Aeronautical and Aviation Engineering | en_US |
dc.creator | Hu, Q | en_US |
dc.creator | Gu, W | en_US |
dc.creator | Wu, L | en_US |
dc.creator | Zhang, L | en_US |
dc.date.accessioned | 2024-05-02T01:52:30Z | - |
dc.date.available | 2024-05-02T01:52:30Z | - |
dc.identifier.issn | 1366-5545 | en_US |
dc.identifier.uri | http://hdl.handle.net/10397/106052 | - |
dc.language.iso | en | en_US |
dc.publisher | Elsevier Ltd | en_US |
dc.subject | Autonomous trucks | en_US |
dc.subject | Column generation | en_US |
dc.subject | Freight transportation | en_US |
dc.subject | Green logistics | en_US |
dc.subject | Platooning | en_US |
dc.title | Optimal autonomous truck platooning with detours, nonlinear costs, and a platoon size constraint | en_US |
dc.type | Journal/Magazine Article | en_US |
dc.identifier.volume | 186 | en_US |
dc.identifier.doi | 10.1016/j.tre.2024.103545 | en_US |
dcterms.abstract | Autonomous trucks offer a promising avenue for enhancing the efficiency and reducing the environmental impact of road freight transportation. This paper examines a transitional phase towards a fully unmanned truck fleet, focusing on a platooning approach with a lead driver. We develop a novel optimization model for autonomous truck platooning that simultaneously considers platoon formation, scheduling, and routing to minimize costs related to labor and fuel. The model incorporates the possibility of detours, nonlinear fuel savings due to air-drag reduction, and the practical platoon size limit. We present an enhanced column generation method, termed the platoon-generation-and-updating approach, which demonstrates high effectiveness in reducing computational time and complexity. Our numerical analysis, based on the Hong Kong highway network, demonstrates the substantial cost advantages of autonomous truck platooning. It also investigates how platooning efficiency is influenced by various operating factors, including truck fleet size, platoon size restrictions, labor-to-fuel cost ratio, and the strictness of delivery time windows, with practical implications interwoven into the discussion. | en_US |
dcterms.accessRights | embargoed access | en_US |
dcterms.bibliographicCitation | Transportation research. Part E, Logistics and transportation review, June 2024, v. 186, 103545 | en_US |
dcterms.isPartOf | Transportation research. Part E, Logistics and transportation review | en_US |
dcterms.issued | 2024-06 | - |
dc.identifier.eissn | 1878-5794 | en_US |
dc.identifier.artn | 103545 | en_US |
dc.description.validate | 202405 bcch | en_US |
dc.description.oa | Not applicable | en_US |
dc.identifier.FolderNumber | a2695 | - |
dc.identifier.SubFormID | 48067 | - |
dc.description.fundingSource | Others | en_US |
dc.description.fundingText | National Natural Science Foundation of China; Natural Science Foundation of Jiangsu; Fundamental Research Funds for the Central Universities | en_US |
dc.description.pubStatus | Published | en_US |
dc.date.embargo | 2027-06-30 | en_US |
dc.description.oaCategory | Green (AAM) | en_US |
Appears in Collections: | Journal/Magazine Article |
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