Traffic parameters are critical for traffic management system and traffic control. This paper is focused on developing a flexible and reliable system to detect the traffic parameters through image sequences. Image data are converted to digital string signals by virtual-loops. Through detecting and tracking the digital strings, vehicle's spatial-temporal features are extracted. In the end, multiple criteria and multistage decision are used to report the parameters of traffic load, traffic velocity and vehicle classification. The real-time prototype system is implemented on a computer. Experimental results illustrate the detection accuracy.


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    Titel :

    Traffic Parameters Detection Based on Video Virtual-Loop Technologies


    Beteiligte:
    Yin, Zhaozheng (Autor:in) / Cao, Li (Autor:in)

    Kongress:

    Seventh International Conference on Applications of Advanced Technologies in Transportation (AATT) ; 2002 ; Boston Marriot, Cambridge, Massachusetts, United States



    Erscheinungsdatum :

    31.07.2002




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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