Short-term traffic flow prediction can improve the efficiency of transportation operations. Historical data-driven prediction methods have been proved to perform well. However, saturated or oversaturated traffic operations cannot be accurately predicted based only on detector data from a single intersection. This study proposes a short-term traffic prediction method based on vehicle trip chain features. First, the video data is pre-processed and quality assessed. Then, vehicle trip chain features are mined to correlate upstream and downstream intersections.Convolutional neural networks and long-short-term-memory model are built next. The model is launched to train the predictor and output the traffic flow for all turns at each approach to the intersection. After cases we demonstrate that the prediction accuracy of CNNs-LSTM is usually better than other methods, especially during oversaturation. In addition, we demonstrate that vehicle trip chain features can improve prediction accuracy and shorten the time consumed by the model.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    Short-term traffic flow prediction based on vehicle trip chain features


    Weitere Titelangaben:

    X. WANG ET AL.
    TRANSPORTATION LETTERS


    Beteiligte:
    Wang, Xiaoqing (Autor:in) / Sun, Feng (Autor:in) / Ma, Xiaolong (Autor:in) / Jiao, Fangtong (Autor:in) / Liu, Benxing (Autor:in) / Zhao, Pengsheng (Autor:in)

    Erschienen in:

    Transportation Letters ; 17 , 1 ; 157-168


    Erscheinungsdatum :

    02.01.2025


    Format / Umfang :

    12 pages




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




    Traffic flow short-term prediction method

    XIAO HONGBO / XIAO JIANHUA / PENG XIAONING et al. | Europäisches Patentamt | 2024

    Freier Zugriff

    Event-Based Short-Term Traffic Flow Prediction Model

    Head, K. L. / National Research Council / Transportation Research Board | British Library Conference Proceedings | 1995


    Event-Based Short-Term Traffic Flow Prediction Model

    Head, K.Larry | Online Contents | 1995


    Short-Term Traffic Flow Prediction: Using LSTM

    Poonia, Pregya / Jain, V. K. | IEEE | 2020


    Short-Term Traffic Flow Prediction Based on Bayesian Fusion

    Zhang, Yu-Ning / Wang, Jing-Sheng / Lu, Hao et al. | TIBKAT | 2020