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    A reinforcement learning model for personalized driving policies identification

    Free access
    Dimitris M. Vlachogiannis / Eleni I. Vlahogianni / John Golias | DOAJ | 2020
    Keywords: Reinforcement learning , Q-learning , Machine learning

    Learning through policy transfer? Reviewing a decade of scholarship for the field of transport

    Free access
    Glaser, Meredith / Bertolini, Luca / te Brömmelstroet, Marco et al. | Taylor & Francis Verlag | 2022
    Keywords: policy learning , learning

    Traffic volume prediction on low-volume roadways: a Cubist approach

    Das, Subasish | Taylor & Francis Verlag | 2021
    Keywords: machine learning

    An interpretable machine learning framework to understand bikeshare demand before and during the COVID-19 pandemic in New York City

    Uddin, Majbah / Hwang, Ho-Ling / Hasnine, Md Sami | Taylor & Francis Verlag | 2023
    Keywords: machine learning

    A survey of the opportunities and challenges of supervised machine learning in maritime risk analysis

    Free access
    Rawson, Andrew / Brito, Mario | Taylor & Francis Verlag | 2023
    Keywords: Machine learning

    Development of a global road safety performance function using deep neural networks

    Free access
    Guangyuan Pan / Liping Fu / Lalita Thakali | DOAJ | 2017
    Keywords: Deep learning

    Consumer learning behavior in choosing electric motorcycles

    Sung, Yen-Ching | Taylor & Francis Verlag | 2010
    Keywords: Bayesian learning

    Development of LSTM-MLR hybrid model for radar detector missing and outlier traffic volume correction

    Kim, Dohoon / Kim, Eungcheol | Taylor & Francis Verlag | 2023
    Keywords: deep-learning

    Analyzing injury severity of motorcycle at-fault crashes using machine learning techniques, decision tree and logistic regression models

    Free access
    Mahdi Rezapour / Amirarsalan Mehrara Molan / Khaled Ksaibati | DOAJ | 2020
    Keywords: Machine learning techniques