The COVID-19 pandemic has posed significant challenges to transportation systems in various aspects, such as transferring patients and medical resources, enforcing physical distancing in public transportation, and controlling virus transmission through transportation networks. To address these challenges, a variety of artificial intelligence technologies, such as autonomous driving, big data analytics, intelligent vehicle routing and scheduling, and intelligent traffic control, have been employed in the design of intelligent transportation systems. This Special Issue provides a forum for researchers and practitioners to present the most recent advances in presenting and applying intelligent technologies to promote transportation systems in large-scale epidemics.


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    Titel :

    Guest Editorial Introduction to the Special Issue on Intelligent Transportation Systems in Epidemic Areas


    Beteiligte:
    Zheng, Yu-Jun (Autor:in) / Liu, Honghai (Autor:in) / Zhang, Houxiang (Autor:in) / Chen, Shengyong (Autor:in)

    Erschienen in:

    Erscheinungsdatum :

    01.12.2022


    Format / Umfang :

    298502 byte




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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