Multi-Objective Green Multimodal Transport Path Optimization with the Participation of High-Speed Railway

The development of green environmental protection concept puts forward higher requirements for transportation. The superior performance of high-speed railway makes it an inevitable trend to participate in the combined transportation of goods. In this paper, a multi-objective green multimodal transportation path optimization model is established by considering the restriction of node schedule and customer receiving time window. This model combines with three transportation modes of roads, waterway and high-speed railway. It aims to minimize carbon emissions and transportation costs while maximizing logistics service satisfaction. Non-dominated sorting genetic algorithm based on reference points (NSGA-III) is applied to solve the model. And the feasibility and effectiveness of the model and algorithm are verified by a numerical example, which provides a variety of transportation schemes to meet the differentiated needs of customers for multimodal transport operators.