In Transport and Telecommunication Institute continues implementation of the project 1.1.1.2/VIAA/1/16/112 «Spatiotemporal urban traffic modelling using big data» (postdoc: Dr.sc.ing. Dmitry Pavlyuk). The project is supported by the European Regional Development Fund (ERDF), within the 1.1.1.2 Post-doctoral Research Aid activity.
As part of the project, the following activities were implemented:
- Study “Make It Flat: Multidimensional Scaling of Citywide Traffic Data” is presented at the 19th International Multi-Conference Reliability and Statistics in Transportation and Communication (RelStat), October 16-19, 2019, Riga, Latvia (http://relstat2019.tsi.lv/ ). Presented results will be published in Springer Lecture Notes in Networks and Systems at the beginning of 2020.
- Paper “Random Forest Variable Selection for Vector Autoregressive Models” was prepared and submitted to the Contributions to Statistics, Springer.
- A study of mobility of public transport passengers in Riga was conducted using information on 124 million trips in 2018. The results of the study will be presented at the largest European conference in the field of transport and mobility – Transport Research Arena (TRA-2020), April 27-30, 2020, Helsinki, Finland.
- Research “Data-driven spatial structure: a case of traffic flows” was presented at the 3rd International Land Use Symposium on Land use changes: Trends and projections, 4-6 December 2019, Paris, France (http://ilus2019.ioer.info).
- Article “Transfer learning: video prediction and spatiotemporal urban traffic forecasting” was prepared and submitted to the journal Algorithms, MDPI.
Current information on the progress and results of the project is available here.
