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    Traffic Lights Control Using Reinforcement Learning: A Comparative Study

    Errajraji, Khalid / Bouayad, Anas / Fardousse, Khalid | Springer Verlag | 2024
    Keywords: Reinforcement learning , Q-learning , Deep Q-learning

    Advancing urban traffic accident forecasting through sparse spatio-temporal dynamic learning

    Cui, Pengfei / Yang, Xiaobao / Abdel-Aty, Mohamed et al. | Elsevier | 2024
    Keywords: Hypergraph Learning , Self-Supervised Learning

    Fuel consumption estimation in heavy-duty trucks: Integrating vehicle weight into deep-learning frameworks

    Fan, Pengfei / Song, Guohua / Zhai, Zhiqiang et al. | Elsevier | 2024
    Keywords: Deep learning

    Enhancing autonomous vehicle hyperawareness in busy traffic environments: A machine learning approach

    Alozi, Abdul Razak / Hussein, Mohamed | Elsevier | 2024
    Keywords: Machine learning

    Geographically weighted machine learning for modeling spatial heterogeneity in traffic crash frequency and determinants in US

    Wang, Shuli / Gao, Kun / Zhang, Lanfang et al. | Elsevier | 2024
    Keywords: Spatial machine learning

    Revisiting residential self-selection and travel behavior connection using a double machine learning

    Ding, Chuan / Wang, Yufan / Cao, Xinyu (Jason) et al. | Elsevier | 2024
    Keywords: Machine learning

    Understanding the daily operations of electric taxis from macro-patterns to micro-behaviors

    Cai, Haiming / Wang, Jiawei / Li, Binliang et al. | Elsevier | 2024
    Keywords: Inverse Reinforcement Learning

    Fake it till you make it: Synthetic data for emerging carsharing programs

    Albrecht, Tobias / Keller, Robert / Rebholz, Dominik et al. | Elsevier | 2024
    Keywords: Machine learning

    Spatiotemporal prediction of particulate matter concentration based on traffic and meteorological data

    Yang, Jiayu / Shi, Linchang / Lee, Jaeyoung et al. | Elsevier | 2024
    Keywords: Deep-learning methods

    Individual and synergistic associations among transit allowance, land use, and transit commuting

    Sun, Shan / Yang, Shuo / Guo, Liang et al. | Elsevier | 2024
    Keywords: Machine learning

    A spatiotemporal deep learning approach for pedestrian crash risk prediction based on POI trip characteristics and pedestrian exposure intensity

    Guo, Manze / Janson, Bruce / Peng, Yongxin | Elsevier | 2024
    Keywords: Deep learning

    Real-time crash prediction on express managed lanes of Interstate highway with anomaly detection learning

    Yang, Samgyu / Abdel-Aty, Mohamed / Islam, Zubayer et al. | Elsevier | 2024
    Keywords: Deep Learning

    Revisiting the hybrid approach of anomaly detection and extreme value theory for estimating pedestrian crashes using traffic conflicts obtained from artificial intelligence-based video analytics

    Hussain, Fizza / Ali, Yasir / Li, Yuefeng et al. | Elsevier | 2024
    Keywords: Machine learning

    Advancing Short-Term Traffic Congestion Prediction: Navigating Challenges in Learning-Based Approaches

    Wang, Chen / Atkison, Travis / Duan, Qiuhua | Springer Verlag | 2024
    Keywords: Deep Learning , Machine Learning

    Identifying the latent relationships between factors associated with traffic crashes through graphical models

    Ulak, Mehmet Baran / Ozguven, Eren Erman | Elsevier | 2024
    Keywords: Graph learning models

    Built environment’s nonlinear effects on mode shares around BRT and rail stations

    Sajjad Abdollahpour, Seyed / Buehler, Ralph / Le, Huyen T.K. et al. | Elsevier | 2024
    Keywords: Machine learning

    Fatigue at the wheel: A non-visual approach to truck driver fatigue detection by multi-feature fusion

    He, Chen / Xu, Pengpeng / Pei, Xin et al. | Elsevier | 2024
    Keywords: Deep learning

    Real-Time Road Lane Detection for Self-driving Cars Using Computer Vision

    Gupta, Meenu / Kumar, Rakesh / Bisht, Archana | Springer Verlag | 2024
    Keywords: Deep learning , Machine Learning

    Optimization of Pin Fins Using Computational Fluid Dynamics and Machine Learning

    Sarosi, Robert / Montomoli, Francesco / Li, Zhihui et al. | AIAA | 2024
    Keywords: Machine Learning

    A variable speed limit control approach for freeway tunnels based on the model-based reinforcement learning framework with safety perception

    Jin, Jieling / Li, Ye / Huang, Helai et al. | Elsevier | 2024
    Keywords: Model-based reinforcement learning

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