IDEAS home Printed from https://ideas.repec.org/a/eee/phsmap/v610y2023ics0378437122009724.html
   My bibliography  Save this article

Research on spatio-temporal network prediction model of parallel–series traffic flow based on Transformer and GCAT

Author

Listed:
  • Zhu, Changfeng
  • Yu, Chunxiao
  • Huo, Jiuyuan

Abstract

Traffic flow forecasting is critical in transportation research. However, the excessive nonlinearity and complexity of spatial and temporal correlations in traffic flow critically restrict the prediction accuracy. To cope with the challenge, a parallel–series combined deep learning prediction model is proposed. Firstly, the traffic flow data is decomposed into unique time spans consistent with positive rules (weekly, daily, and hourly cycles). Then, a deep learning model named Transformer-Graph Convolutional Attention Networks (TRGCAT) is further used to predict the multi-flow in the traffic network. TRGCAT firstly encodes and concatenates the current hourly, daily, and weekly periodic features of all traffic nodes in parallel, which decodes the middle output with spatial features, and ultimately predicts future single-step, short-term, and long-term multi-step traffic flow by using Graph Convolutional Attention Network (GCAT) in series. We conduct numerical experiments on open-source datasets PeMS, the results show that TRGCAT does better in spatial and temporal fusion and may acquire extra aggressive forecasting consequences than baseline methods.

Suggested Citation

  • Zhu, Changfeng & Yu, Chunxiao & Huo, Jiuyuan, 2023. "Research on spatio-temporal network prediction model of parallel–series traffic flow based on Transformer and GCAT," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 610(C).
  • Handle: RePEc:eee:phsmap:v:610:y:2023:i:c:s0378437122009724
    DOI: 10.1016/j.physa.2022.128414
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378437122009724
    Download Restriction: Full text for ScienceDirect subscribers only. Journal offers the option of making the article available online on Science direct for a fee of $3,000

    File URL: https://libkey.io/10.1016/j.physa.2022.128414?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Kleijnen, J.P.C., 1999. "Validation of Models : Statistical Techniques and Data Availability," Other publications TiSEM f7518d14-a5e9-4c69-a579-6, Tilburg University, School of Economics and Management.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Ma, Changxi & Zhao, Mingxi, 2023. "Spatio-temporal multi-graph convolutional network based on wavelet analysis for vehicle speed prediction," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 630(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Federico Perali & Stefania Lovo, 2009. "Counterfactual analysis using a regional dynamic general equilibrium model with historical calibration," Working Papers 58/2009, University of Verona, Department of Economics.
    2. Kleijnen, Jack P.C., 2010. "Ethical Issues in Engineering Models : Personal Reflections," Discussion Paper 2010-09, Tilburg University, Center for Economic Research.
    3. van der Gaag, Monique A. & Vos, Fred & Saatkamp, Helmut W. & van Boven, Michiel & van Beek, Paul & Huirne, Ruud B. M., 2004. "A state-transition simulation model for the spread of Salmonella in the pork supply chain," European Journal of Operational Research, Elsevier, vol. 156(3), pages 782-798, August.
    4. Kleijnen, J.P.C., 2005. "Supply chain simulation tools and techniques : A survey," Other publications TiSEM d0050225-57bd-4114-ab15-7, Tilburg University, School of Economics and Management.
    5. Kleijnen, J. P. C., 2001. "Ethical issues in modeling: Some reflections," European Journal of Operational Research, Elsevier, vol. 130(1), pages 223-230, April.
    6. Hertel, Thomas, 2013. "Global Applied General Equilibrium Analysis Using the Global Trade Analysis Project Framework," Handbook of Computable General Equilibrium Modeling, in: Peter B. Dixon & Dale Jorgenson (ed.), Handbook of Computable General Equilibrium Modeling, edition 1, volume 1, chapter 0, pages 815-876, Elsevier.
    7. Hertel, Thomas W. & Keeney, Roman & Valenzuela, Ernesto, 2004. "Global Analysis of Agricultural Trade Liberalization: Assessing Model Validity," Conference papers 331270, Purdue University, Center for Global Trade Analysis, Global Trade Analysis Project.
    8. Happe, Kathrin, 2005. "Agent-Based Modelling and Sensitivity Analysis by Experimental Design and Metamodelling: An Application to Modelling Regional Structural Change," 2005 International Congress, August 23-27, 2005, Copenhagen, Denmark 24464, European Association of Agricultural Economists.
    9. Robinson, Stewart, 2002. "General concepts of quality for discrete-event simulation," European Journal of Operational Research, Elsevier, vol. 138(1), pages 103-117, April.
    10. Kleijnen, J.P.C. & Cheng, R.C.H. & Bettonvil, B.W.M., 2000. "Validation of trace-driven simulation models : More on bootstrap tests," Other publications TiSEM 78dda39d-725a-488b-9618-b, Tilburg University, School of Economics and Management.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:phsmap:v:610:y:2023:i:c:s0378437122009724. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.journals.elsevier.com/physica-a-statistical-mechpplications/ .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.