In order to solve the increasingly serious problem of intersection traffic congestion, an intersection traffic flow prediction method based on deep neural network is proposed. The principle of deep neural network is used to construct the intersection traffic congestion management system, standardize the intersection traffic flow evaluation algorithm, and reasonably predict and manage the intersection traffic flow. Finally, the experiment proves that the intersection traffic flow prediction method based on deep neural network has high practicability and accuracy in the process of practical application, and fully meets the research requirements.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Intersection traffic flow prediction based on deep neural network


    Beteiligte:
    Fan, Feizhuan (Autor:in)


    Erscheinungsdatum :

    2022-03-01


    Format / Umfang :

    907169 byte





    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Distributed Multi-Intersection Traffic Flow Prediction using Deep Learning

    Moumen Idriss / Mahdaoui Rabie / Raji Fatima Zahra et al. | DOAJ | 2024

    Freier Zugriff

    Intersection traffic flow prediction method based on LSTM

    ZHANG HUI / LI ZHAOCHUAN / WANG GUANJUN et al. | Europäisches Patentamt | 2024

    Freier Zugriff

    Graph neural network traffic flow prediction method based on deep learning

    CHENG XIAOHUI / HE YUHAO / LU QIU | Europäisches Patentamt | 2023

    Freier Zugriff

    Associated multi-intersection traffic flow prediction method

    FU TINGTING / YU QIANWEN | Europäisches Patentamt | 2022

    Freier Zugriff

    Traffic flow prediction method and device for traffic intersection

    CAI WEIBIN / GAO WEI / ZHANG JINYUAN et al. | Europäisches Patentamt | 2023

    Freier Zugriff