Considering the existing problems of high damage rates inflexible settings, and poor data reliability of the traditional loop detector, this paper proposes a dynamic detection method for intersection traffic state based on intelligent video analysis. This method is verified by timing optimization at an actual signalized intersection. Practical operation results show that the traffic state parameters of signalized intersections were detected accurately and effectively, and the problems that existed in the traditional loop detector were overcome. Meanwhile, the traffic efficiency was also significantly improved by this new method. The method of real-time optimization and control of traffic signal based on intelligent video analysis could be widely used in traffic signal control and has a wide range of application and practical value.


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    Title :

    Real-Time Optimization of Signalized Intersection Based on Intelligent Video Analysis


    Contributors:
    Shu, Aibing (author) / Xu, Xindong (author) / Ma, Chaofeng (author) / Fu, Qiang (author)

    Conference:

    17th COTA International Conference of Transportation Professionals ; 2017 ; Shanghai, China


    Published in:

    CICTP 2017 ; 485-493


    Publication date :

    2018-01-18




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English




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