This paper aims to combine the deep learning (DL) and reinforcement learning (RL) techniques to formulate the predictive overtaking strategy for autonomous vehicles in freeway scenario. First, the real-world driving data is extracted from the Next Generation SIMulation (NGSIM) dataset. The long short-term memory (LSTM) model is leveraged to forecast the longitudinal and lateral motion of vehicles. Then, the freeway overtaking scenario is constructed, wherein two-lane transportation is considered. Based on the predicted driving trajectories of the surrounding vehicles, RL is utilized to guide the target vehicle passes through the scenario as soon as possible. Results indicate that the presented decision-making strategy could enhance the mobility and safety of the studied automated vehicle. The availability of the proposed method in uncertain and complex driving situations is also demonstrated.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Predictive Freeway Overtaking Strategy for Automated Vehicles Using Deep Reinforcement Learning


    Beteiligte:
    Liu, Teng (Autor:in) / Deng, Zejian (Autor:in) / Tang, Xiaolin (Autor:in) / Wang, Hong (Autor:in) / Cao, Dongpu (Autor:in)


    Erscheinungsdatum :

    01.09.2019


    Format / Umfang :

    777883 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




    Heuristics-oriented overtaking decision making for autonomous vehicles using reinforcement learning

    Liu, Teng / Huang, Bing / Deng, Zejian et al. | IET | 2020

    Freier Zugriff

    Heuristics‐oriented overtaking decision making for autonomous vehicles using reinforcement learning

    Liu, Teng / Huang, Bing / Deng, Zejian et al. | Wiley | 2020

    Freier Zugriff

    OVERTAKING MANEUVERS IN SIMULATED HIGHWAY DRIVING USING DEEP REINFORCEMENT LEARNING

    Kaushik, Meha / Prasad, Vignesh / Krishna, K. Madhava et al. | British Library Conference Proceedings | 2018


    Overtaking Maneuvers in Simulated Highway Driving using Deep Reinforcement Learning

    Kaushik, Meha / Prasad, Vignesh / Krishna, K Madhava et al. | IEEE | 2018