As an efficient logistics mode, multimodal transport can effectively integrate the advantages of various transportation modes and reduce energy consumption and carbon emissions. Aiming at the low-carbon multimodal transport path optimization problem, this paper provides a hybrid optimization method combining genetic algorithm and particle swarm optimization algorithm, establishes a multi-objective optimization model considering transport time, cost and carbon emission, and designs a PSO-GA hybrid algorithm to realize the comprehensive optimization of multimodal transport path. Finally, a numerical example is given to verify the effectiveness and feasibility of the proposed method. The results show that the PSO-GA hybrid algorithm can effectively reduce the transportation cost and carbon emissions of multimodal transportation while ensuring transportation efficiency, and provide theoretical support and practical guidance for the low-carbon development of China’s transportation industry, which will help China set a model of low-carbon development in the field of global transportation and make positive contributions to the global response to climate change.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Low-Carbon Multimodal Transport Path Optimization Based on Genetic Particle Swarm Algorithm


    Additional title:

    Lecture Notes in Civil Engineering


    Contributors:
    Meng, Lingyun (editor) / Qian, Yongsheng (editor) / Bai, Yun (editor) / Lv, Bin (editor) / Tang, Yuanjie (editor) / Wang, Kun (author) / Zhang, Jingzhuo (author) / Shao, Huinan (author)

    Conference:

    International Conference on Traffic and Transportation Studies ; 2024 ; Lanzhou, China August 23, 2024 - August 25, 2024



    Publication date :

    2024-11-14


    Size :

    8 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English





    Particle Swarm Optimization Algorithm for Drilling Path Planning Problem

    Zhu, G.-y. | British Library Online Contents | 2008


    Research on Multimodal Transport Shortest Path Based on the Genetic Algorithm

    Ji, S. W. / Jin, S. / Lv, K. | British Library Conference Proceedings | 2015


    MULTIMODAL PARTICLE SWARM OPTIMIZATION: ENHANCEMENTS AND APPLICATIONS

    Singh, G. / Viana, F. / Subramaniyan, A. et al. | British Library Conference Proceedings | 2012


    Multimodal Particle Swarm Optimization: Enhancements and Applications

    Singh, Gulshan / Viana, Felipe / Subramaniyan, Arun Karthi et al. | AIAA | 2012