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    Parameter tuning of EV drivers' charging behavioural model using machine learning techniques

    Fotouhi, Zohreh / Narimani, Hamed / Hashemi, Massoud Reza | Taylor & Francis Verlag | 2023
    Keywords: Deep reinforcement learning (DRL)

    Full-scale spatio-temporal traffic flow estimation for city-wide networks: a transfer learning based approach

    Zhang, Yuan / Cheng, Qixiu / Liu, Yang et al. | Taylor & Francis Verlag | 2023
    Keywords: transfer learning method

    Early wheel flat detection: an automatic data-driven wavelet-based approach for railways

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

    Inferring safety critical events from vehicle kinematics in naturalistic driving environment: Application of deep learning Algorithms

    Khattak, Zulqarnain H. / Rios-Torres, Jackeline / Fontaine, Michael D. et al. | Taylor & Francis Verlag | 2023
    Keywords: deep learning

    A population-based incremental learning algorithm to identify optimal location of left-turn restrictions in urban grid networks

    Bayrak, Murat / Yu, Zhengyao / Gayah, Vikash V. | Taylor & Francis Verlag | 2023
    Keywords: population-based incremental learning

    Deep reinforcement learning-based antilock braking algorithm

    Mantripragada, V. Krishna Teja / Kumar, R. Krishna | Taylor & Francis Verlag | 2023
    Keywords: reinforcement learning

    Discharge control policy based on density and speed for deep Q-learning adaptive traffic signal

    Ahmed, Muaid Abdulkareem Alnazir / Khoo, Hooi Ling / Ng, Oon-Ee | Taylor & Francis Verlag | 2023
    Keywords: deep Q-learning

    Comparison of traffic accident injury severity prediction models with explainable machine learning

    Cicek, Elif / Akin, Murat / Uysal, Furkan et al. | Taylor & Francis Verlag | 2023
    Keywords: explainable machine learning

    Predicting and explaining severity of road accident using artificial intelligence techniques, SHAP and feature analysis

    Panda, Chakradhara / Mishra, Alok Kumar / Dash, Aruna Kumar et al. | Taylor & Francis Verlag | 2023
    Keywords: machine learning

    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: Deep learning , machine learning

    Modeling the impact of COVID-19 on transportation at later stage of the pandemic: A case study of Utah

    Gong, Yaobang / Isom, Tanner / Lu, Pan et al. | Taylor & Francis Verlag | 2024
    Keywords: machine learning

    Machine learning algorithms in ship design optimization

    Peri, Daniele | Taylor & Francis Verlag | 2024
    Keywords: machine learning

    Understanding e-bicycle overtaking strategy: insights from inverse reinforcement learning modelling

    Yue, Lishengsa / Abdel-Aty, Mohamed / Zaki, Mohamed H. et al. | Taylor & Francis Verlag | 2024
    Keywords: inverse reinforcement learning

    A robust machine learning structure for driving events recognition using smartphone motion sensors

    Zarei Yazd, Mahdi / Taheri Sarteshnizi, Iman / Samimi, Amir et al. | Taylor & Francis Verlag | 2024
    Keywords: machine learning

    Sensitivity analysis of driving event classification using smartphone motion data: case of classifier type, sensor bundling, and data acquisition rate

    Sarteshnizi, Iman Taheri / Tavakkoli Khomeini, Farbod / Khedri, Borna et al. | Taylor & Francis Verlag | 2024
    Keywords: machine learning

    Traffic congestion forecasting using multilayered deep neural network

    Kumar, Kranti / Kumar, Manoj / Das, Pritikana | Taylor & Francis Verlag | 2024
    Keywords: Deep learning

    STD-Yolov5: a ship-type detection model based on improved Yolov5

    Ning, Yue / Zhao, Lining / Zhang, Can et al. | Taylor & Francis Verlag | 2024
    Keywords: deep learning

    An automatic methodology to measure drivers’ behavior in public transport

    Catalán, Hernán / Lobel, Hans / Herrera, Juan Carlos | Taylor & Francis Verlag | 2024
    Keywords: machine learning

    Crash classification based on manner of collision: a comparative analysis

    Mahmud, Asif / Sengupta, Agnimitra / Gayah, Vikash V. | Taylor & Francis Verlag | 2024
    Keywords: machine learning

    Friction-adaptive stochastic nonlinear model predictive control for autonomous vehicles

    Vaskov, Sean / Quirynen, Rien / Menner, Marcel et al. | Taylor & Francis Verlag | 2024
    Keywords: machine learning

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