Multi-objective multimodal transport path optimization model and algorithm considering carbon emissions

To improve the transportation efficiency of multimodal transport and reduce carbon emissions, this paper systematically investigates the integrated optimization model and method of paths and transportation modes for multiple transportation tasks considering carbon emissions. According to the model characteristics, the K short circuit-GA hybrid algorithm was designed based on Floyd. Obtaining the least total cost of transport of containers is proposed based on considering the smallest carbon emission, shortest time, and lowest cost of multiple transportation modes; the effectiveness of the model and algorithm is proved by designing and solving the calculation cases. The convergence times are reduced by 22.9 % compared with traditional genetic algorithms, which verifies the effectiveness and practicality of the algorithm and model. The proposed model can provide fast and effective decision support for cargo transportation planning.