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Research on truck-drone collaborative route planning for rural logistics delivery services
KTH, School of Industrial Engineering and Management (ITM), Production engineering. School of Management, Wuhan University of Science and Technology, 430080, Wuhan, China.ORCID iD: 0000-0001-7585-4674
School of Management, Wuhan University of Science and Technology, 430080, Wuhan, China.
KTH, School of Industrial Engineering and Management (ITM), Production engineering.ORCID iD: 0000-0001-9694-0483
KTH, School of Industrial Engineering and Management (ITM), Production engineering, Industrial Production Systems.ORCID iD: 0000-0001-8679-8049
2024 (English)In: Scientific Reports, E-ISSN 2045-2322, Vol. 14, no 1, article id 31815Article in journal (Refereed) Published
Abstract [en]

This study investigates the implementation of collaborative route planning between trucks and drones within rural logistics to improve distribution efficiency and service quality. The paper commences with an analysis of the unique characteristics and challenges inherent in rural logistics, emphasizing the limitations of traditional methods while highlighting the advantages of integrating truck and drone technologies. It proceeds to review the current state of development for these two technologies and presents case studies that illustrate their application in rural logistics. Building on this analysis, a collaborative path planning method is proposed, establishing a path optimization model and designing an enhanced simulated annealing algorithm. The effectiveness of this approach is validated through simulation experiments, which reveal that the collaborative delivery system for trucks and drones can significantly boost efficiency, lower costs, and improve service quality. In conclusion, the research findings and potential future research directions are discussed to offer theoretical insights and practical guidance for further innovations in rural logistics technology.

Place, publisher, year, edition, pages
Springer Nature , 2024. Vol. 14, no 1, article id 31815
Keywords [en]
Collaborative path planning, Drones, Rural logistics, Trucks
National Category
Transport Systems and Logistics
Identifiers
URN: urn:nbn:se:kth:diva-358266DOI: 10.1038/s41598-024-83149-1ISI: 001386372800029PubMedID: 39738296Scopus ID: 2-s2.0-85213726777OAI: oai:DiVA.org:kth-358266DiVA, id: diva2:1925466
Note

QC 20250121

Available from: 2025-01-08 Created: 2025-01-08 Last updated: 2025-01-21Bibliographically approved

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Wang, YongWang, Xi VincentWang, Lihui

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