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    The level of delay caused by crashes (LDC) in metropolitan and non-metropolitan areas: a comparative analysis of improved Random Forests and LightGBM

    Wang, Zehao / Jiao, Pengpeng / Wang, Jianyu et al. | Taylor & Francis Verlag | 2023
    Keywords: feature learning , machine learning

    A bibliometric analysis and review on reinforcement learning for transportation applications

    Li, Can / Bai, Lei / Yao, Lina et al. | Taylor & Francis Verlag | 2023
    Keywords: Machine learning

    An evacuation guidance model for pedestrians with limited vision

    Han, Yanbin / Liu, Hong / Li, Liang | Taylor & Francis Verlag | 2023
    Keywords: reinforcement learning

    Application of mayfly algorithm for prediction of removed sediment in hydro-suction dredging systems

    Mahdavi-Meymand, Amin / Zounemat-Kermani, Mohammad | Taylor & Francis Verlag | 2023
    Keywords: machine learning

    Leveraging autonomous vehicles in mixed-autonomy traffic networks with reinforcement learning-controlled intersections

    Mosharafian, Sahand / Afzali, Shirin / Mohammadpour Velni, Javad | Taylor & Francis Verlag | 2023
    Keywords: Reinforcement learning

    Eco-driving at signalized intersections: a parameterized reinforcement learning approach

    Jiang, Xia / Zhang, Jian / Li, Dan | Taylor & Francis Verlag | 2023
    Keywords: reinforcement learning

    Integration of machine learning and statistical models for crash frequency modeling

    Zhou, Dongqin / Gayah, Vikash V. / Wood, Jonathan S. | Taylor & Francis Verlag | 2023
    Keywords: Machine learning

    Social group detection based on multi-level consistent behaviour characteristics

    Li, Meng / Chen, Tao / Du, Hao et al. | Taylor & Francis Verlag | 2023
    Keywords: unsupervised 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

    Prediction of extent of damage in vehicle during crash using improved XGBoost model

    Vadhwani, Diya / Thakor, Devendra | Taylor & Francis Verlag | 2023
    Keywords: machine learning

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