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

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.