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Abstract Taking the carbon market as the research background, considering the effect of the schedule and the time limit of receiving goods, aiming at the optimization problem of multimodal transport route with uncertain carbon price and demand, and using robust optimization to deal with the unknown probability distribution function of carbon price and demand, a robust optimization model of double uncertain multimodal transport path is constructed, and the effectiveness and rationality of the model are verified by examples and genetic algorithms, and the results show that: slight fluctuations in carbon price and demand will inevitably lead to changes in the optimal path. In order to resist operational risks caused by uncertain parameters and maintain the stability of the transportation system, operators prefer to choose high-cost and low-carbon transportation solutions. Multimodal transport operators can reasonably regulate robust level parameters according to their own conditions, improve their resilience to parameter fluctuations, improve operational efficiency, and respond to low-carbon transportation.
Deng et al. (Wed,) studied this question.