In recent years, traffic congestion prediction has led to a growing research area, especially of machine learning of artificial intelligence (AI). With the introduction of big data by stationary sensors or probe vehicle data and the development of new AI models in the last few decades, this research area has expanded extensively. Traffic congestion prediction, especially short-term traffic congestion prediction is made by evaluating different traffic parameters. Most of the researches focus on historical data in forecasting traffic congestion. However, a few articles made real-time traffic congestion prediction. This paper systematically summarises the existing research conducted by applying the various methodologies of AI, notably different machine learning models. The paper accumulates the models under respective branches of AI, and the strength and weaknesses of the models are summarised.


    Zugriff

    Download


    Exportieren, teilen und zitieren



    Titel :

    A Review of Traffic Congestion Prediction Using Artificial Intelligence


    Beteiligte:
    Mahmuda Akhtar (Autor:in) / Sara Moridpour (Autor:in)


    Erscheinungsdatum :

    2021




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Unbekannt





    Traffic road congestion prediction method and system based on artificial intelligence

    HU SHUMEI / YANG HONG / DONG WENJIE et al. | Europäisches Patentamt | 2025

    Freier Zugriff


    TRAFFIC CONGESTION PREDICTION DEVICE AND TRAFFIC CONGESTION PREDICTION METHOD

    ONIMARU HIROYUKI | Europäisches Patentamt | 2017

    Freier Zugriff

    Traffic congestion prediction method and traffic congestion prediction device

    MASUTANI OSAMU | Europäisches Patentamt | 2016

    Freier Zugriff