Study on route optimization of truck-UAV joint distribution considering spatio-temporal clustering

Peng Jiang; Gengjun Gao

doi:10.1117/12.3024065

14 February 2024 Study on route optimization of truck-UAV joint distribution considering spatio-temporal clustering

Peng Jiang, Gengjun Gao

Proceedings Volume 13018, International Conference on Smart Transportation and City Engineering (STCE 2023); 1301821 (2024) https://doi.org/10.1117/12.3024065
Event: International Conference on Smart Transportation and City Engineering (STCE 2023), 2023, Chongqing, China

Abstract

By taking advantage of the low cost and high flexibility of UAV, the "truck-UAV" joint distribution mode is considered to be introduced into the logistics "last kilometer" distribution. Considering the limitations of UAV such as endurance and load capacity, and considering the customer demand exceeding the load of UAV and time window requirements, the "truck-UAV" joint distribution optimization model is built with the minimum total operating cost as the goal. According to the characteristics of the problem, spatio-temporal clustering is introduced, and a two-stage solution method is proposed. The effectiveness of the algorithm is verified by different scale examples. The results show that the proposed distribution scheme can effectively reduce the logistics cost of the traditional distribution mode, and provide a theoretical basis for the optimization of the distribution scheme of logistics enterprises. The research results enrich the research of truck - UAV joint delivery problem with time window.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Peng Jiang and Gengjun Gao "Study on route optimization of truck-UAV joint distribution considering spatio-temporal clustering", Proc. SPIE 13018, International Conference on Smart Transportation and City Engineering (STCE 2023), 1301821 (14 February 2024); https://doi.org/10.1117/12.3024065

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