Intermodal transport problem of container terminal in emission control area

With the establishment of the Emission Control Areas(ECA) of China, and the huge demand of the One Belt One Road (OBOR) strategy of intermodal transport, container intermodal transport will be rapid development in the future. Meanwhile, the air pollution problem is increasingly serious, optimizing the container intermodal transport in port, reducing emissions, and improving operation efficiency, which, is an urgent problem to the port operator. In this study, three models are proposed to deal with the intermodal transport problem of container terminal in ECA. Firstly, a dynamic berth allocation problem with ship emissions consideration (EDBAP), based on an application of shore power is modeled. Then, truck dispatching problem (TDP) is presented, the third one is ship and train scheduling problem (STSP). Mixed integer non-linear programming (MINLP) models are developed for these problems, heuristic algorithm to solve these problems. Experimental results demonstrate that the intermodal transport problem of container terminal, reflected by the proposed models, is competent to reduce emissions, while simultaneously retaining the service level, thus improve operation efficiency in intermodal transport of container terminal.