Embedded artificial intelligence solutions are promising controllers for future sustainable and automated road vehicles. This study presents a deep learning-based approach combined with vehicle communication technology for the design of a real-time cooperative adaptive cruise control (CACC). A particular type of recurrent neural network has been selected, namely a gated recurrent unit (GRU). GRU exhibits improved learning performance in control problems such as the CACC since it avoids the vanishing gradient problems that characterize long time series. A GRU has been trained using ad-hoc CACC datasets build-up according to an optimal control policy, i.e. dynamic programming (DP), for a battery electric vehicle. In particular, DP optimizes the longitudinal speed trajectory of the Ego (Following) vehicle in CACC so to achieve energy savings and passenger comfort improvement. Results demonstrate that the Ego vehicle controlled by the trained GRU can achieve an eco-friendly driving in CACC without compromising passenger comfort and safety requirements. Unlike DP, GRU holds strong real-time potential. The performance of the proposed GRU approach for CACC is verified by benchmarking with the optimal performance obtained off-line using DP in several driving missions.


    Zugriff

    Download


    Exportieren, teilen und zitieren



    Titel :

    Cooperative Adaptive Cruise Control: A Gated Recurrent Unit Approach



    Erscheinungsdatum :

    2022-01-01



    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch


    Klassifikation :

    DDC:    629



    Cooperative Adaptive Cruise Control: A Gated Recurrent Unit Approach

    Musa, Alessia / Anselma, Pier Giuseppe / Spano, Matteo et al. | IEEE | 2022


    Cooperative Adaptive Cruise Control

    Shladover, Steven E. / Nowakowski, Christopher / Lu, Xiao-Yun et al. | Transportation Research Record | 2015


    Adaptive and Cooperative Cruise Control

    Dr. Bu, Fanping / Dr. Chan, Ching-Yao | Springer Verlag | 2012


    EXTENDED COOPERATIVE ADAPTIVE CRUISE CONTROL

    Montanaro, U. / Tufo, M. / Fiengo, G. et al. | British Library Conference Proceedings | 2014