Adaptive control algorithms can adjust the signal period in real time and have a high calculation rate. This paper uses the holographic traffic signal control system of multi-source data fusion to fuse the original traffic data obtained by a variety of sensors, adopts adaptive control algorithm and artificial intelligence conversion technology, combines the fused traffic data information with the OpenATC open source signal machine independently developed in China, and designs a signal control scheme that conforms to the current road network. In the sumo simulation environment, the comparison and verification were carried out in coordination with the traditional static two-way green wave, and the comparison results showed that the average length of the maximum queue at a single intersection decreased by 25.03%, and the average parking delay at a single intersection decreased by 61.51%. This method can effectively alleviate the occurrence of traffic congestion events in the road network and improve the efficiency of road network traffic.


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    Titel :

    Holographic traffic signal control system based on multi-source data fusion


    Beteiligte:
    Jiang, S. T. (Autor:in) / chen, Z. Q. (Autor:in) / Zhou, D. B. (Autor:in) / Chen, Y. K. (Autor:in) / Gao, L. (Autor:in) / Liu, J. Z. (Autor:in) / Li, T. F. (Autor:in)

    Kongress:

    Seventh International Conference on Electromechanical Control Technology and Transportation (ICECTT 2022) ; 2022 ; Guangzhou,China


    Erschienen in:

    Proc. SPIE ; 12302


    Erscheinungsdatum :

    23.11.2022





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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