A vehicle traffic flow prediction method with missing data is disclosed. The method includes the steps of inputting the topological structure of the traffic flow to be predicted, selecting a certain road section in the road network as the road section to be predicted, and determining the adjacent road section data set of the road section to be predicted by the spatial-temporal relationship between the observable data and the missing data. According to the nearest neighbor algorithm, the missing data in the data set of the adjacent road sections are filled to get the filled data set, and then the traffic flow data of the road sections to be predicted at the prediction time is obtained. The method can be used for efficiently predicting the vehicle traffic flow of a certain road section in the case of missing traffic flow data in the complex urban road network.


    Access

    Download


    Export, share and cite



    Title :

    VEHICLE TRAFFIC FLOW PREDICTION METHOD WITH MISSING DATA


    Contributors:
    LI CHANGLE (author) / YUE WENWEI (author) / ZHANG HEHE (author) / CHEN YUE (author)

    Publication date :

    2021-12-30


    Type of media :

    Patent


    Type of material :

    Electronic Resource


    Language :

    English


    Classification :

    IPC:    G08G Anlagen zur Steuerung, Regelung oder Überwachung des Verkehrs , TRAFFIC CONTROL SYSTEMS



    Vehicle traffic flow prediction method with missing data

    CHANGLE LI / WENWEI YUE / HEHE ZHANG et al. | European Patent Office | 2023

    Free access

    Vehicle traffic flow prediction method with missing data

    European Patent Office | 2021

    Free access

    Traffic flow prediction method and system containing missing data

    JIN YANI / LIU CAIPING / XIE KUN et al. | European Patent Office | 2023

    Free access

    Traffic flow data restoration method based on missing judgment of traffic flow data acquisition equipment

    WU YINFENG / DONG YINGYUE / GUAN YICHENG et al. | European Patent Office | 2024

    Free access

    Traffic Prediction With Missing Data: A Multi-Task Learning Approach

    Wang, Ao / Ye, Yongchao / Song, Xiaozhuang et al. | IEEE | 2023