Artificial intelligence will play an important supporting role in urban traffic congestion management and smart transportation work. In recent years, China has vigorously developed infrastructure construction, and intelligent transportation system equipment such as cameras, microwaves, ultrasound, and electronic police have basically covered urban main roads, highways, and national and provincial roads. On top of a relatively complete transportation infrastructure, a large amount of traffic data is generated through various devices and technologies. With the support of artificial intelligence technology, reasonable driving speeds and traffic flow scales are set, and the duration of signal traffic lights at different road intervals is calculated. This enables efficient passage of vehicles within the corresponding road sections, greatly improving the efficiency of road travel in the entire city.


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    Titel :

    Research on intelligent transportation algorithms based on artificial intelligence


    Beteiligte:
    Yao, Xinwei (Herausgeber:in) / Kong, Xiangjie (Herausgeber:in) / Xu, Gaofeng (Autor:in) / Zhang, Shouhui (Autor:in)

    Kongress:

    Fourth International Conference on Machine Learning and Computer Application (ICMLCA 2023) ; 2023 ; Hangzhou, China


    Erschienen in:

    Proc. SPIE ; 13176


    Erscheinungsdatum :

    22.05.2024





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch