Exploring the Optimization of Synchromodal Transportation Path under Uncertainties

Along with the rapid development of economy and increasing demand for transport quality, renewed attention to multimodal transportation has emerged. However, due unpredictable environment in process uncertainties caused by change market demand, decision-makers face many difficulties planning routing, which become an obstacle transportation. As advanced form transportation, synchromodal received extensive recent years. Due its flexibility sustainability, can effectively deal uncertainty Based on problem networks uncertainties, this paper proposed a mixed time-window-constrained path optimization model goal minimizing total costs, corresponding assumptions considering three types uncertainty. The could be solved genetic algorithm using MATLAB software. Using model, best optimal scheme synchronization were obtained. results case study showed that adjust plan time respond thus, reducing costs. This favorably supported introduction is significance future.