The development of logistics is the need of social reproduction and the arterial system of national economy. The overall goal of cross-border logistics is to serve international trade and transnational operations, that is, to find the best path and the best combination of transport modes through scientific design with the lowest logistics cost and the least transportation risk, and to transport goods to the delivery destination. To sum up, this paper takes the economic cost of multimodal transport as the optimization objective from the actual situation, designs the optimization of the system path of multimodal transport, and accelerates the evolution of the great changes that the world has never seen in a century along the Belt and Road. The distinctive banner of contemporary Chinese-style modernization is openness. With the development of the "Belt and Road" policy, China has further improved its level of opening up to the outside world, and strengthened the integration of economic and trade development with countries along the route. Firstly, the optimization objective of routing is determined. By taking the cross-border logistics routes of countries along the Belt and Road as the research object, this paper introduces the related concepts and theories such as multimodal transport and the Belt and Road. Secondly, by analyzing various factors that affect route selection, it is finally determined that the logistics cost in route selection is the optimization target, and road transportation, railway transportation, water transportation and air transportation are the transportation modes. Based on this, the objective function is constructed and the logistics cost is analyzed quantitatively.   Finally, the improved intelligent optimization algorithm is used to solve the problem. Finally, citing the "Belt and Road" example, the case algorithm is solved to provide a reference scheme for China's "Belt and Road" economic and trade cooperation. 

Xiaoxuan Pang. Research on Optimizing Transportation along the Belt and Road under Multi-modal Transportation Model. The Frontiers of Society, Science and Technology (2025), Vol. 7, Issue 1: 39-44. https://doi.org/10.25236/FSST.2025.070107.

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