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    Worst-case scenarios identification approach for the evaluation of advanced driver assistance systems in intelligent/autonomous vehicles under multiple conditions

    Chelbi, Nacer Eddine / Gingras, Denis / Sauvageau, Claude | Taylor & Francis Verlag | 2022
    Keywords: ensemble and machine learning

    Using reinforcement learning to minimize taxi idle times

    O’Keeffe, Kevin / Anklesaria, Sam / Santi, Paolo et al. | Taylor & Francis Verlag | 2022
    Keywords: machine learning

    Using kinematic driving data to detect sleep apnea treatment adherence

    McDonald, Anthony D. / Lee, John D. / Aksan, Nazan S. et al. | Taylor & Francis Verlag | 2017
    Keywords: machine learning

    Travel mode choice: a data fusion model using machine learning methods and evidence from travel diary survey data

    Chang, Ximing / Wu, Jianjun / Liu, Hao et al. | Taylor & Francis Verlag | 2019
    Keywords: machine learning

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

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

    Traffic speed prediction for intelligent transportation system based on a deep feature fusion model

    Li, Linchao / Qu, Xu / Zhang, Jian et al. | Taylor & Francis Verlag | 2019
    Keywords: machine learning

    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: machine learning

    The influence of alternative data smoothing prediction techniques on the performance of a two-stage short-term urban travel time prediction framework

    Guo, Fangce / Krishnan, Rajesh / Polak, John | Taylor & Francis Verlag | 2017
    Keywords: machine learning method

    The construction of a neural network proxy model for ship hull design based on multi-fidelity datasets and the parameter freezing strategy

    Ao, Yu / Li, Shaofan / Li, Yunbo et al. | Taylor & Francis Verlag | 2024
    Keywords: machine learning

    Testing and enhancing spatial transferability of artificial neural networks based travel behavior models

    Koushik, Anil NP / Manoj, M / Nezamuddin, N et al. | Taylor & Francis Verlag | 2023
    Keywords: Machine learning

    Station-level short-term demand forecast of carsharing system via station-embedding-based hybrid neural network

    Zhao, Feifei / Wang, Weiping / Sun, Huijun et al. | Taylor & Francis Verlag | 2022
    Keywords: Machine learning

    Small-amplitude bogie hunting identification method for high-speed trains based on machine learning

    Guo, Jinying / Zhang, Gexiang / Shi, Huailong et al. | Taylor & Francis Verlag | 2024
    Keywords: machine learning

    Simulation-driven design of a fast monohull

    Free access
    Harries, Stefan / Ahmed, Osama / Uharek, Sebastian | Taylor & Francis Verlag | 2024
    Keywords: machine learning (ML)

    Ship selection in port state control: status and perspectives

    Yan, Ran / Wang, Shuaian / Peng, Chuansheng | Taylor & Francis Verlag | 2022
    Keywords: machine learning in maritime transportation

    Shipping market forecasting by forecast combination mechanism

    Gao, Ruobin / Liu, Jiahui / Du, Liang et al. | Taylor & Francis Verlag | 2022
    Keywords: machine learning

    Revisiting kernel logistic regression under the random utility models perspective. An interpretable machine-learning approach

    Martín-Baos, José Ángel / García-Ródenas, Ricardo / Rodriguez-Benitez, Luis | Taylor & Francis Verlag | 2021
    Keywords: machine Learning

    Real-time optimal trajectory planning for autonomous vehicles and lap time simulation using machine learning

    Free access
    Garlick, S. / Bradley, A. | Taylor & Francis Verlag | 2022
    Keywords: machine learning

    Propeller optimization by interactive genetic algorithms and machine learning

    Free access
    Gypa, Ioli / Jansson, Marcus / Wolff, Krister et al. | Taylor & Francis Verlag | 2023
    Keywords: machine learning

    Probabilistic traffic breakdown forecasting through Bayesian approximation using variational LSTMs

    Zechin, Douglas / Cybis, Helena Beatriz Bettella | 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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