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Continues work on the project “Spatiotemporal urban traffic modelling using big data”

Despite the COVID-19 pandemic and related restrictions, in Transport and Telecommunication Institute continues implementation of the project «Spatiotemporal urban traffic modelling using big data» (postdoc: Dmitry Pavlyuk). The project is supported by the European Regional Development Fund (ERDF), within the Post-doctoral Research Aid activity.

As part of the project, the following activities were implemented:

  • Published the research paper Pavlyuk, D., 2020. Towards ensemble learning of traffic flows’ spatiotemporal structure. Transportation Research Procedia 47, 361–368.
  • Article «Robust and Responsive Learning of Spatiotemporal Urban Traffic Flow Relationships» is prepared and submitted to Transportation Research: Part C journal
  • Participation in a webinar of ECTRI Thematic Group on Traffic Management and in VIAA “Open Science” webinars
  • Paper «Spatiotemporal Dynamics of Public Transport Demand: a Case Study of Riga» (prepared in collaboration with N.Spiridovska and I. Jackiva) is submitted to the Transport journal.
  • Study «Spatiotemporal cross-validation of urban traffic forecasting models» is accepted for presentation at EWGT-2020 ( and the related paper is submitted to Transportation Research Procedia.
  • Abstracts «Short-term urban traffic forecasting with the spatial GARCH model» are accepted for presentation at RelStat-2020 (

Current information on the progress and results of the project is available here.

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