Scientific Activities

TrafficData actively collaborates with universities across the country, advancing research activities and integrating academic expertise with real-world practical challenges in the field of transport analysis. Our goal is to develop and implement modern technological solutions that help build sustainable transport infrastructure, improve research methodologies, and train qualified specialists for the industry.
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Benefits of cooperation:

  • Organizing internships for students
  • Supporting the development of academic programs and methodological materials
  • Assisting postgraduate students and degree candidates in preparing dissertation research and other scholarly work
  • Assisting postgraduate students and PhD candidates with their dissertation research and other scholarly work

Scientific Publications:

  1. Chebykin I. A. Automation of Road Traffic Monitoring Using Computer Vision // World of Transport. — 2020. — Vol. 18. — No. 6. — pp. 74–87.
  2. Chebykin I. A., Semenov S. S. Analysis of Traffic Flow Using Artificial Intelligence // Modernization and Scientific Research in the Transport Sector. — 2020. — Vol. 1. — pp. 354–358.
  3. Mantsurov A. V. et al. Designing a Cable Condition Monitoring System for Cable-Stayed Bridges Using a Non-Destructive Testing Method Based on the Villari Effect // Intelligent Systems in Science and Technology. Artificial Intelligence in Solving Current Social and Economic Problems of the 21st Century. — 2020. — pp. 205–213.
  4. Chebykin I. A. Analysis of Traffic Flow as the Basis of an Intelligent Transport System // World of Roads. — 2020. — No. 131. — pp. 80–82.
  5. Jafarov R. M., Chebykin I. A., Kokosha O. I. How to Create a Transport Model Reflecting the Real Behavior of Traffic Flow // Automobile Roads. — 2021. — No. 6. — pp. 146–147.
  6. Chebykin I. A. Cross-Camera Tracking in Traffic Flow Analysis // Automobile Roads. — 2021. — No. 2. — pp. 127–128.
  7. Chebykin I. A. Computer Vision–Based Solutions for Intelligent Transport Systems // Automobile Roads. — 2020. — No. 11. — pp. 131–133.
  8. Ponosov A. A., Ponosov D. A. On Modeling the Environmental and Economic Development of a Region // Statistics and Economics. — 2012. — No. 4. — pp. 142–146.
  9. Ponosov D. A. On Some Approaches to Modeling the Impact of the Industrial Sector on the Ecology of a Region // Economic Systems Management: Electronic Scientific Journal. — 2011. — No. 34. — p. 32.
  10. Ignatenko E. I. Innovative Approaches to Recording Road Traffic Accidents: The Importance of Video Analytics for Improving Road Safety // Proceedings of the International Forum. — Kazan, 2025. — pp. 76–80.
  11. Ignatenko E. I., Novikov A. N., Klyavin V. E., Sysoev V. S. An Intelligent Transport System Based on Traffic Light Objects with Adaptive Control // Proceedings of the International Forum. — Kazan, 2025. — pp. 81–86.
  12. Chebykin I. A. Three Principles of Effective Bridge Monitoring: An Engineer’s Practical Experience // Road State. — 2025. — No. 133. — pp. 13–16.
We look forward to cooperate with your educational institution!