Compared with the traditional transportation data, the transportation big data (TBD) is under the background of “Internet + traffic.” It is a great challenge for analyzing and processing TBD because of its complex and unstructured characteristics, such as sequence, strong relevance, accuracy, and closed loop. This Special Issue provides high-quality and up-to-date technology related to the application of SP and AI into TBD and their applications in the COVID-19 scenario and beyond and serves as a forum for researchers all over the world to discuss their works and recent advancements in the field, especially for defensing COVID-19 in public transportation.


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    Title :

    Guest Editorial Introduction to the Special Issue on Advanced Signal Processing and AI Technologies for Transportation Big Data and Their Applications in COVID-19 Scenario and Beyond


    Contributors:
    Wan, Liangtian (author) / Bi, Guoan (author) / Ai, Bo (author) / Yuan, Yuan (author)


    Publication date :

    2024-01-01


    Size :

    2004462 byte




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English