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

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

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

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

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

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

    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

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

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

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

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

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

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

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

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

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