This chapter summarizes the presentations of speakers addressing such issues during the Automated Vehicles Symposium 2020 (AVS20) held virtually on July 27–30, 2020. These speakers participated in the break-out session titled “Artificial Intelligence for Automated Vehicle Control and Traffic Operations: Challenges and Opportunities”. The corresponding discussion and recommendations are presented in terms of the lessons learned and the future research directions to be adopted to benefit from AI in order to develop safer and more efficient connected and automated vehicles (CAV). This session was organized by the Transportation Research Board (TRB) Committee on Traffic Flow Theory and Characteristics (ACP50) and the TRB Committee on Artificial Intelligence and Advanced Computing Applications (AED50).


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    Title :

    Artificial Intelligence for Automated Vehicle Control and Traffic Operations: Challenges and Opportunities


    Additional title:

    Lect.Notes Mobility


    Contributors:
    Meyer, Gereon (editor) / Beiker, Sven (editor) / Abbink, David A. (author) / Hao, Peng (author) / Laval, Jorge (author) / Shalev-Shwartz, Shai (author) / Wu, Cathy (author) / Yang, Terry (author) / Hamdar, Samer (author) / Chen, Danjue (author)

    Conference:

    Automated Vehicles Symposium ; 2020 July 27, 2020 - July 30, 2020



    Publication date :

    2021-07-09


    Size :

    13 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English





    Challenges and Opportunities of Artificial Intelligence for Automated Driving

    Wilsch, Benjamin / Elrofai, Hala / Krune, Edgar | TIBKAT | 2019




    Traffic Flow of Connected and Automated Vehicles: Challenges and Opportunities

    Calvert, Simeon / Mahmassani, Hani / Meier, Jan-Niklas et al. | Springer Verlag | 2017