Optimization of the Path of the Multimodal Transport Operator's Transportation Decision-Making

With the growing improvement of the transportation infrastructure and the continuous increase in the volume of world trade, container intermodal market will expand further. To enhance the scientific feasibility in decision-making for multimodal transportation operator, the analysis of the technical and economical characteristics of transportation modes (such as cost and transport capacity) is based on fuzzy planning optimization. This paper presents a fuzzy planning optimization model for multi-modal transportation, in which factors including the transportation time and transfer time with uncertainty, transfer conditions and time-window demanded by customer are considered. According to the characteristic of the optimization model, the genetic algorithm was investigated to solve the proposed model by constructing a virtual transportation network. In the end, a numerical example was provided to validate the model and algorithm.