Container terminals are important nodes in the container intermodal transport network. China's rapidly growing container throughput puts forward higher requirements for the operational efficiency of container terminals. At present, due to the lack of a platform for effective communication between container terminal operators and container truck operators, a large number of container trucks arrive and leave in a centralized manner, resulting in congestion at terminal gates and the roads in the operation area, and reducing the efficiency of container terminals. Aiming at the pain points faced by the operation practice of container terminals, this project takes external container truck dynamic scheduling of container terminals as the research object, develops a station-truck interconnection APP that can realize the dynamic interaction between the two types of subjects: container terminal operators and container truck operators. A container terminal operation scheduling simulation system was built to simulate the load of operating equipment under different container truck arrival numbers, and determine the optimal container truck arrival quantity in different time periods. In the face of uncertain arrival situations such as truck in-transit failures, a dynamic adjustment algorithm for container trucks scheduling of container terminals is proposed to realize the dynamic adjustment of container truck scheduling strategy. It provides a theoretical method and platform support for the external container trucks dynamic scheduling of container terminals.


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    Title :

    Dynamic Container Trucks Scheduling Strategy for Container Terminals Based on Station-Truck Interconnection


    Additional title:

    Lect. Notes Electrical Eng.


    Contributors:
    Qin, Yong (editor) / Jia, Limin (editor) / Yang, Jianwei (editor) / Diao, Lijun (editor) / Yao, Dechen (editor) / An, Min (editor) / Hu, Xiaoyu (author) / Chen, Yang (author) / Du, Boyu (author) / Wang, Li (author)

    Conference:

    International Conference on Electrical and Information Technologies for Rail Transportation ; 2023 ; Beijing, China October 19, 2023 - October 21, 2023



    Publication date :

    2024-02-03


    Size :

    8 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English




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