With the advancement of artificial intelligence and technologies, intelligent autonomous systems have been widely used in the logistics, transportation and maritim e industries. Intelligent autonomous systems can self-learn and adapt, and are capable of autonomous decision-making and operation in complex and dynamic environments, automatically adjusting and optimizing behaviors and functions by sensing the environment and users. The application of intelligent autonomous systems in Automated Container Terminals (ACT) has revolutionized the terminal and logistics industry. This paper introduces the application of the Fleet Intelligent Autonomous System (FIAS) in the ACT of Tianjin Port. The system mainly includes intelligent scheduling, dynamic path planning, intelligent traffic management, intelligent sequencing, intelligent charging scheduling, and intelligent parking management modules of the Artificial Intelligence Robot of Transportation (ART). The actual test data of the terminal shows that the proposed FIAS can effectively reduce the energy consumption of vehicle operation and improve the intelligent control level of the ART fleet.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Fleet Intelligent Autonomous System for ART in Automated Container Terminals


    Contributors:
    Yang, Caiyun (author) / Zhang, Yu (author) / Gao, Yanhui (author) / Tang, Kexin (author)


    Publication date :

    2024-08-07


    Size :

    771392 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Routing of AGVs on automated container terminals

    Duinkerken, Mark B. / Lodewijks, Gabriel | IEEE | 2015




    AGV Dispatching Strategies at Automated Seaport Container Terminals

    Gunther, H.-O. / Grunow, M. / Lehmann, M. | British Library Conference Proceedings | 2005


    Design, simulation, and evaluation of automated container terminals

    Liu, C.-I. / Jula, H. / Ioannou, P.A. | IEEE | 2002