Road traffic prediction plays a remarkable role in intelligent transportation system managements. Most current research usually considers the two dimensions of time and space dependencies. However, merely considering the upstream and downstream information in the spatial dimension is incapable to capture sufficient spatial features. In this paper, a traffic prediction model using Spatial-Temporal information and Traffic Pattern Similarity information (STTPS) is proposed. It selects observation points with similar traffic pattern to supplement spatial information through similarity analysis and attention mechanism. Simultaneously, many influences of seasonality and super-recent factors are fully considered in the time dimension. Furthermore, a time convolution network and a gated recurrent unit are used for feature extraction. Finally, the time characteristics of variant scales is fused to obtain the prediction result. The proposed prediction is compared with the state-of-art models to demonstrate its capability in both single-step (5 min) and multi-step (1 hour) traffic forecasting.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

    An Attention-Based Spatial-Temporal Traffic Flow Prediction Method with Pattern Similarity Analysis


    Beteiligte:
    Yang, Liankun (Autor:in) / Zhang, Yaying (Autor:in) / Zuo, Jiankai (Autor:in)


    Erscheinungsdatum :

    19.09.2021


    Format / Umfang :

    2337141 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



    Spatial-temporal Traffic Congestion Prediction Based on Attention Mechanism

    Pu, Shilin / Chu, Liang / Zhang, Yuanjian et al. | IEEE | 2021


    Attention Mechanism With Spatial-Temporal Joint Model for Traffic Flow Speed Prediction

    Hu, Hexuan / Lin, Zhenzhou / Hu, Qiang et al. | IEEE | 2022


    STATNet: Spatial-temporal attention in the traffic prediction

    Moghadas, Seyed Mohamad / Gheibi, Amin / Alahi, Alexander | TIBKAT | 2022

    Freier Zugriff

    A Spatial–Temporal Attention Approach for Traffic Prediction

    Shi, Xiaoming / Qi, Heng / Shen, Yanming et al. | IEEE | 2021