Optimization of path selection of multimodal transportation with cold chain under low-carbon and time-window situations

Bo Yu

doi:10.1117/12.3039474

28 August 2024 Optimization of path selection of multimodal transportation with cold chain under low-carbon and time-window situations

Bo Yu

Author Affiliations +

Proceedings Volume 13251, Ninth International Conference on Electromechanical Control Technology and Transportation (ICECTT 2024); 132513U (2024) https://doi.org/10.1117/12.3039474
Event: 9th International Conference on Electromechanical Control Technology and Transportation (ICECTT 2024), 2024, Guilin, China

Abstract

Nowadays, multimodal transport brings improved delivery efficiency and effectiveness. By unifying the transportation unit, multimodal transportation provides a more convenient, time-saved, and cost-effective route plan. With the raised concern on the quality of fresh foods, cold chain logistics (CCL) attract more and more concentration today. Thus, the combination of multimodal transport and CCL is necessary, especially for the international transportation of fresh foods. The paper established the linear programming considering multimodal transportation and CCL, and designed the genetic algorithm to solve it. In the real case, there are 7 cities, which are abroad and domestic ports and transportation hubs. By the genetic algorithm, the optimal route will be provided. The analysis result will also contribute to the development of sustainable transport.

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

Citation Download Citation

Bo Yu "Optimization of path selection of multimodal transportation with cold chain under low-carbon and time-window situations", Proc. SPIE 13251, Ninth International Conference on Electromechanical Control Technology and Transportation (ICECTT 2024), 132513U (28 August 2024); https://doi.org/10.1117/12.3039474

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