Wang Yong, Yang Suo, Wang Xi Vincent, Wang Lihui
School of Management, Wuhan University of Science and Technology, Wuhan, 430080, China.
Department of Production Engineering, KTH Royal Institute of Technology, 11428, Stockholm, Sweden.
Sci Rep. 2024 Dec 30;14(1):31815. doi: 10.1038/s41598-024-83149-1.
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.
本研究探讨了农村物流中卡车与无人机之间协同路线规划的实施,以提高配送效率和服务质量。本文首先分析了农村物流固有的独特特征和挑战,强调了传统方法的局限性,同时突出了整合卡车和无人机技术的优势。接着回顾了这两种技术的当前发展状况,并展示了说明它们在农村物流中应用的案例研究。在此分析基础上,提出了一种协同路径规划方法,建立了路径优化模型,并设计了一种改进的模拟退火算法。通过仿真实验验证了该方法的有效性,实验结果表明,卡车与无人机协同配送系统能够显著提高效率、降低成本并改善服务质量。最后,讨论了研究结果和未来潜在的研究方向,为农村物流技术的进一步创新提供理论见解和实践指导。