To determine the real-time traffic state accurately in road network or intersections, traffic state identification method is proposed based on image processing technology. During the image process, by analyzing the image texture features, the multi-scale block local binary patterns are taken as the features. The road traffic state identification model is established based on support vector classification. A road section is taken as an example, the images of three traffic states (free traffic flow, steady traffic flow, and forced traffic flow) are selected to test the established traffic state identification model. This method can be applied to determine the real-time traffic conditions, which can provide information for the traffic management decisions.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Development of a road traffic state identification method based on image texture features


    Beteiligte:
    Song Chen, (Autor:in) / Ande Chang, (Autor:in) / Xiansheng Li, (Autor:in) / Jing Wang, (Autor:in)


    Erscheinungsdatum :

    2016-10-01


    Format / Umfang :

    997403 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch





    ROAD TRAFFIC STATE ESTIMATING SYSTEM AND ROAD TRAFFIC STATE ESTIMATING METHOD

    OBA YOSHIKAZU / UENO HIDEKI | Europäisches Patentamt | 2018

    Freier Zugriff

    ETC data-based traffic road section congestion state online identification method

    DU HUIYU / WANG ZHENGQIONG / LU KAIXIAN et al. | Europäisches Patentamt | 2023

    Freier Zugriff

    Road Extraction Based on Image Features of Raster Urban Traffic Map

    Hai, T. / Bao, Y.-l. / China Communications and Transportation Association; Transportation & Development Institute (American Society of Civil Engineers) | British Library Conference Proceedings | 2007