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Chen, Xiqun (Michael)   Material science   Chemistry   Chemical and environmental engineering   Traffic engineering   Electronic Resource   Clear all

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    Understanding ridesplitting behavior of on-demand ride services: An ensemble learning approach

    Chen, Xiqun (Michael) / Zahiri, Majid / Zhang, Shuaichao | Elsevier | 2016
    Keywords: Ensemble learning

    Network-scale traffic prediction via knowledge transfer and regional MFD analysis

    Li, Junyi / Xie, Ningke / Zhang, Kaihang et al. | Elsevier | 2022
    Keywords: Transfer learning

    A Bayesian clustering ensemble Gaussian process model for network-wide traffic flow clustering and prediction

    Zhu, Zheng / Xu, Meng / Ke, Jintao et al. | Elsevier | 2023
    Keywords: Statistical learning

    A novel reinforced dynamic graph convolutional network model with data imputation for network-wide traffic flow prediction

    Chen, Yong / Chen, Xiqun (Michael) | Elsevier | 2022
    Keywords: Deep reinforcement learning

    Spatial-temporal pricing for ride-sourcing platform with reinforcement learning

    Chen, Chuqiao / Yao, Fugen / Mo, Dong et al. | Elsevier | 2021
    Keywords: Reinforcement learning

    A physics-informed Transformer model for vehicle trajectory prediction on highways

    Geng, Maosi / Li, Junyi / Xia, Yingji et al. | Elsevier | 2023
    Keywords: Physics-informed deep learning

    PCA-based missing information imputation for real-time crash likelihood prediction under imbalanced data

    Ke, Jintao / Zhang, Shuaichao / Yang, Hai et al. | Taylor & Francis Verlag | 2019
    Keywords: cost-sensitive learning

    Dynamic-learning spatial-temporal Transformer network for vehicular trajectory prediction at urban intersections

    Geng, Maosi / Chen, Yong / Xia, Yingji et al. | Elsevier | 2023
    Keywords: Dynamic learning

    Short-term forecasting of passenger demand under on-demand ride services: A spatio-temporal deep learning approach

    Ke, Jintao / Zheng, Hongyu / Yang, Hai et al. | Elsevier | 2017
    Keywords: Deep learning (DL)

    Multi‐model ensemble for short‐term traffic flow prediction under normal and abnormal conditions

    Free access
    Chen, Xiqun (Michael) / Zhang, Shuaichao / Li, Li | Wiley | 2019
    Keywords: ensemble learning algorithm , learning (artificial intelligence)

      Multi-model ensemble for short-term traffic flow prediction under normal and abnormal conditions

      Free access
      Chen, Xiqun (Michael) / Zhang, Shuaichao / Li, Li | IET | 2018
      Keywords: learning (artificial intelligence) , ensemble learning algorithm

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