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    Application of machine learning models to predict driver left turn destination lane choice behavior at urban intersections

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    Mohammed Moinuddin / Logan Proffer / Matthew Vechione et al. | DOAJ | 2024
    Keywords: Applied Machine Learning

    A state-of-the-art survey of deep learning models for automated pavement crack segmentation

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    Hongren Gong / Liming Liu / Haimei Liang et al. | DOAJ | 2024
    Keywords: Deep learning

    Identification of optimal locations of adaptive traffic signal control using heuristic methods

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    Tanveer Ahmed / Hao Liu / Vikash V. Gayah | DOAJ | 2024
    Keywords: Population based incremental learning

    An adaptive agent-based approach for instant delivery order dispatching: Incorporating task buffering and dynamic batching strategies

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    Miaojia Lu / Xinyu Yan / Shadi Sharif Azadeh et al. | DOAJ | 2024
    Keywords: Deep reinforcement learning

    Unveiling the influential factors for customized bus service reopening from naturalistic observations in Shanghai

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    Yu Shen / Chenlong Xu / Shengchuan Jiang et al. | DOAJ | 2024
    Keywords: Explainable machine learning

    Real-time risk assessment of aircraft landing based on finite element-virtual prototype-machine learning co-simulation on wet runways

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    Xingyi Zhu / Yanan Wu / Yang Yang et al. | DOAJ | 2024
    Keywords: Machine learning

    Condition assessment of high-speed railway track structure based on sparse Bayesian extreme learning machine and Bayesian hypothesis testing

    Wang, Senrong / Gao, Jingze / Lin, Chao et al. | Taylor & Francis Verlag | 2023
    Keywords: sparse bayesian learning , extreme learning machine

    Using supervised machine learning algorithms in pavement degradation monitoring

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    Amir Shtayat / Sara Moridpour / Berthold Best et al. | DOAJ | 2023
    Keywords: Machine Learning

    Automatic clustering-based approach for train wheels condition monitoring

    Mosleh, Araliya / Meixedo, Andreia / Ribeiro, Diogo et al. | Taylor & Francis Verlag | 2023
    Keywords: Machine learning

    Deep hybrid learning framework for spatiotemporal crash prediction using big traffic data

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    Mohammad Tamim Kashifi / Mohammed Al-Turki / Abdul Wakil Sharify | DOAJ | 2023
    Keywords: Deep Hybrid Learning

    Mode shift behaviour and user willingness to adopt the electric two-wheeler: A study based on Indian road user preferences

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    Manivel Murugan / Sankaran Marisamynathan | DOAJ | 2023
    Keywords: Machine learning

    Representative truck activity patterns from anonymous mobile sensor data

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    Taslima Akter / Sarah Hernandez | DOAJ | 2023
    Keywords: Machine learning

    The impact of the combination equilibrium of horizontal and sag-vertical curves on safety

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    Xiaofei Wang / Siyu Li / Tianjie Shen et al. | DOAJ | 2023
    Keywords: Machine learning

    Risk prediction for cut-ins using multi-driver simulation data and machine learning algorithms: A comparison among decision tree, GBDT and LSTM

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    Tianyang Luo / Junhua Wang / Ting Fu et al. | DOAJ | 2023
    Keywords: Machine learning approach

    Flight delay causality: Machine learning technique in conjunction with random parameter statistical analysis

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    Seyedmirsajad Mokhtarimousavi / Armin Mehrabi | DOAJ | 2023
    Keywords: Machine learning

    Planning maintenance and rehabilitation activities for airport pavements: A combined supervised machine learning and reinforcement learning approach

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    Limon Barua / Bo Zou | DOAJ | 2022
    Keywords: Reinforcement learning , Q-learning

    Automatic topics extraction from crowdsourced cyclists near-miss and collision reports using text mining and Artificial Neural Networks

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    Keneth Morgan Kwayu / Valerian Kwigizile / Kevin Lee et al. | DOAJ | 2022
    Keywords: Machine learning

    Truck industry classification from anonymous mobile sensor data using machine learning

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    Taslima Akter / Sarah Hernandez | DOAJ | 2022
    Keywords: Machine learning

    Acceptability modeling of autonomous mobility on-demand services with on-board ride sharing using interpretable Machine Learning

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    Panagiotis Fafoutellis / Eleni G. Mantouka / Eleni I. Vlahogianni et al. | DOAJ | 2022
    Keywords: Interpretable Machine Learning

    Crash prediction for freeway work zones in real time: A comparison between Convolutional Neural Network and Binary Logistic Regression model

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    Junhua Wang / Hao Song / Ting Fu et al. | DOAJ | 2022
    Keywords: Machine learning

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