This paper summarizes the characteristics of typical toll evasion behaviors by investigating the types of toll evasion on highways in Henan Province. Using big data analysis and mining methods to study vehicle characteristics and related relationships, the paper makes a mining analysis on Henan Province's toll data for three days in mid-2018, studies the relationship between vehicles, weight, driving time, and whether vehicles have a fee evasion behavior. It establishes a strategy for identifying toll evasion behaviors and a prediction model for the behaviors, provides technical support to establish an anti-fare-evasion inspection system for highways, realizes intelligent prediction and classification of fare evasion behaviors, and assists the manual inspection of fare evasion customers, and improves the inspectors' efficiency, achieves efficient and accurate prediction of fare evasion and then fight against fare evasion.


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    Titel :

    Research on Types and Data Characteristics of Freeway Escape in Henan Province


    Beteiligte:
    Wang, Yige (Autor:in) / Li, Feiya (Autor:in) / Cui, Xiao (Autor:in) / Zhang, Li (Autor:in)


    Erscheinungsdatum :

    01.01.2020


    Format / Umfang :

    346867 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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