Synonyme wurden verwendet für: data imputation traffic
Suche ohne Synonyme: keywords:(traffic data imputation)

1–20 von 36 Ergebnissen
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    An efficient realization of deep learning for traffic data imputation

    Duan, Yanjie / Lv, Yisheng / Liu, Yu-Liang et al. | Elsevier | 2016
    Schlagwörter: Traffic data imputation , Missing data

    The estimation of road traffic states based on compressive sensing

    Xu, Dong Wei / Dong, Hong Hui / Li, Hai Jian et al. | Taylor & Francis Verlag | 2015
    Schlagwörter: traffic state , road traffic network , data imputation

    Missing traffic data imputation and pattern discovery with a Bayesian augmented tensor factorization model

    Chen, Xinyu / He, Zhaocheng / Chen, Yixian et al. | Elsevier | 2019
    Schlagwörter: Spatiotemporal traffic data , Missing data imputation

    A hybrid approach to integrate fuzzy C-means based imputation method with genetic algorithm for missing traffic volume data estimation

    Tang, Jinjun / Zhang, Guohui / Wang, Yinhai et al. | Elsevier | 2014
    Schlagwörter: Missing sensor data , Imputation , Traffic volume

    Stacked bidirectional and unidirectional LSTM recurrent neural network for forecasting network-wide traffic state with missing values

    Cui, Zhiyong / Ke, Ruimin / Pu, Ziyuan et al. | Elsevier | 2020
    Schlagwörter: Network-wide traffic prediction , Missing data , Data imputation

    BGCP-based traffic data imputation and accident detection applications for the national trunk highway

    Qi, Hang / Zhao, Xiaohua / Yao, Ying et al. | Elsevier | 2023
    Schlagwörter: Spatiotemporal traffic data , Missing data imputation

    Impact of connected corridor volume data imputations on digital twin performance measures

    Freier Zugriff
    Abhilasha J. Saroj / Somdut Roy / Angshuman Guin et al. | DOAJ | 2023
    Schlagwörter: Missing traffic data , Traffic data imputation , Traffic data loss

    Real-time spatiotemporal prediction and imputation of traffic status based on LSTM and Graph Laplacian regularized matrix factorization

    Yang, Jin-Ming / Peng, Zhong-Ren / Lin, Lei | Elsevier | 2021
    Schlagwörter: Spatiotemporal data , Traffic data prediction , Missing data imputation

    Traffic data imputation via tensor completion based on soft thresholding of Tucker core

    Goulart, J.H. de M. / Kibangou, A.Y. / Favier, G. | Elsevier | 2017
    Schlagwörter: Traffic data imputation

    Innovative method for traffic data imputation based on convolutional neural network

    Freier Zugriff
    Zhuang, Yifan / Ke, Ruimin / Wang, Yinhai | IET | 2018
    Schlagwörter: traffic information systems , traffic data imputation , data analysis , road traffic , innovative traffic data imputation method

    Innovative method for traffic data imputation based on convolutional neural network

    Freier Zugriff
    Zhuang, Yifan / Ke, Ruimin / Wang, Yinhai | Wiley | 2019
    Schlagwörter: data analysis , road traffic , traffic data imputation , innovative traffic data imputation method , traffic information systems

    Imputation of Missing Traffic Data during Holiday Periods

    Liu, Zhaobin / Sharma, Satish / Datla, Sandeep | Taylor & Francis Verlag | 2008
    Schlagwörter: Imputation , missing data , holiday traffic

    A nonconvex low-rank tensor completion model for spatiotemporal traffic data imputation

    Chen, Xinyu / Yang, Jinming / Sun, Lijun | Elsevier | 2020
    Schlagwörter: Spatiotemporal traffic data , Missing data imputation

    Scalable low-rank tensor learning for spatiotemporal traffic data imputation

    Chen, Xinyu / Chen, Yixian / Saunier, Nicolas et al. | Elsevier | 2021
    Schlagwörter: Spatiotemporal traffic data , High-dimensional data , Missing data imputation

    ST-FVGAN: filling series traffic missing values with generative adversarial network

    Yang, Bing / Kang, Yan / Yuan, Yaoyao et al. | Taylor & Francis Verlag | 2022
    Schlagwörter: traffic data imputation

    Matching Patterns for Updating Missing Values of Traffic Counts

    Zhong, Ming / Sharma, Satish / Lingras, Pawan | Taylor & Francis Verlag | 2006
    Schlagwörter: Data imputation , traffic counts

    A multi-directional recurrent graph convolutional network model for reconstructing traffic spatiotemporal diagram

    Xu, Jinhua / Lu, Wenbo / Li, Yuran et al. | Taylor & Francis Verlag | 2024
    Schlagwörter: traffic state reconstruction , traffic data imputation

    Hybrid data‐driven approach for truck travel time imputation

    Freier Zugriff
    Karimpour, Abolfazl / Ariannezhad, Amin / Wu, Yao‐Jan | Wiley | 2019
    Schlagwörter: data analysis , data mining , imputation performance , hybrid data‐driven approach , continuous missing truck travel time data , loop detector data , road traffic , traffic engineering computing , truck travel time imputation , popular imputation models , leveraging multiple data sources , missing data

    Hybrid data-driven approach for truck travel time imputation

    Freier Zugriff
    Karimpour, Abolfazl / Ariannezhad, Amin / Wu, Yao-Jan | IET | 2019
    Schlagwörter: continuous missing truck travel time data , popular imputation models , truck travel time imputation , data analysis , hybrid data-driven approach , leveraging multiple data sources , data mining , missing data , imputation performance , loop detector data , road traffic , traffic engineering computing

    Memory-augmented dynamic graph convolution networks for traffic data imputation with diverse missing patterns

    Liang, Yuebing / Zhao, Zhan / Sun, Lijun | Elsevier | 2022
    Schlagwörter: Traffic data imputation