Traffic volume prediction is the basis of road network planning and project feasibility studies, where total expressway traffic generation prediction is one of the cornerstones. Based on the big data of expressway network toll collection and related socio-economic indicators in Guangdong Province from 2015 to 2018, the correlation between the traffic generation (attraction) of expressways and socio-economic indicators was analyzed based on multiple linear regression, and a prediction model on fitting function for total expressway traffic generation in Guangdong Province was established. Finally, a real case study was used to test and verify our study.


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    Titel :

    Prediction of total expressway traffic generation in Guangdong province based on multiple linear regression


    Beteiligte:
    You, Jinlong (Autor:in)

    Kongress:

    Sixth International Conference on Traffic Engineering and Transportation System (ICTETS 2022) ; 2022 ; Guangzhou,China


    Erschienen in:

    Proc. SPIE ; 12591


    Erscheinungsdatum :

    16.02.2023





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch






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