1–20 of 27 hits
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    TCSA-Net: A Temporal-Context-Based Self-Attention Network for Next Location Prediction

    Sun, Guiming / Qi, Heng / Shen, Yanming et al. | IEEE | 2022

    Urban Road Network Operation Quality Evaluation Method Based on High-Frequency Trajectory Data

    Lin, Pengfei / Weng, Jiancheng / Yin, Baocai et al. | IEEE | 2018

    Real‐time passenger flow anomaly detection in metro system

    Free access
    Wei, Xiulan / Zhang, Yong / Zhang, Xinyu et al. | Wiley | 2023

    Text-to-Traffic Generative Adversarial Network for Traffic Situation Generation

    Huo, Guangyu / Zhang, Yong / Wang, Boyue et al. | IEEE | 2022

    Spatiotemporal traffic data imputation via tensorial weighted Schatten‐p norm minimization

    Free access
    Wang, Shaofan / Zhao, Yongbo / Zhang, Yong et al. | Wiley | 2022

    Multi-Level Dynamic Graph Convolutional Networks for Weakly Supervised Crowd Counting

    Miao, Zhuangzhuang / Zhang, Yong / Ren, Hao et al. | IEEE | 2024

    Towards City-Scale Traffic Prediction: Cluster Graph Wavelet Networks

    Wang, Jingcheng / Zhang, Yong / Lv, Yisheng et al. | IEEE | 2022

    Analysing the relationship between weather, built environment, and public transport ridership

    Free access
    Lin, Pengfei / Weng, Jiancheng / Brands, Devi K. et al. | Wiley | 2020

      Analysing the relationship between weather, built environment, and public transport ridership

      Free access
      Lin, Pengfei / Weng, Jiancheng / Brands, Devi K. et al. | IET | 2021

    A Spatial–Temporal Attention Approach for Traffic Prediction

    Shi, Xiaoming / Qi, Heng / Shen, Yanming et al. | IEEE | 2021

    Traffic forecasting with missing data via low rank dynamic mode decomposition of tensor

    Free access
    Zhang, Xinyu / Zhang, Yong / Wei, Xiulan et al. | Wiley | 2022

    Multitask Hypergraph Convolutional Networks: A Heterogeneous Traffic Prediction Framework

    Wang, Jingcheng / Zhang, Yong / Wang, Lixun et al. | IEEE | 2022

    Metro Passenger Flow Prediction via Dynamic Hypergraph Convolution Networks

    Wang, Jingcheng / Zhang, Yong / Wei, Yun et al. | IEEE | 2021

    Graph transformer based dynamic multiple graph convolution networks for traffic flow forecasting

    Free access
    Hu, Yongli / Peng, Ting / Guo, Kan et al. | Wiley | 2023

    Deep Learning on Traffic Prediction: Methods, Analysis, and Future Directions

    Yin, Xueyan / Wu, Genze / Wei, Jinze et al. | IEEE | 2022

    A Review of Personalized Health Navigation for Drivers

    Mou, Luntian / Zhao, Yiyuan / Zhou, Chao et al. | IEEE | 2022

    A Low Rank Dynamic Mode Decomposition Model for Short-Term Traffic Flow Prediction

    Yu, Yadong / Zhang, Yong / Qian, Sean et al. | IEEE | 2021