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.
We are committed not only to create technological solutions for transportation but also to train new personnel in this. Our collaboration with universities allows us to combine scientific expertise with practical experience, develop research methodologies, and train specialists capable of applying modern IT and analytical tools in future real-world projects.
Dmitrii Ponosov
CCO of TrafficData
Cooperation with leading universities allows us to introduce innovations, starting with the educational process. Students gain the opportunity to solve real industry challenges. This practice not only strengthens the country's scientific and technological potential but also establishes conditions for the sustainable development of IT in the transport sector by cultivating skills that are already in high demand.
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:
Chebykin I. A. Automation of Road Traffic Monitoring Using Computer Vision // World of Transport. — 2020. — Vol. 18. — No. 6. — pp. 74–87.
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.
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.
Chebykin I. A. Analysis of Traffic Flow as the Basis of an Intelligent Transport System // World of Roads. — 2020. — No. 131. — pp. 80–82.
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.
Chebykin I. A. Cross-Camera Tracking in Traffic Flow Analysis // Automobile Roads. — 2021. — No. 2. — pp. 127–128.
Chebykin I. A. Computer Vision–Based Solutions for Intelligent Transport Systems // Automobile Roads. — 2020. — No. 11. — pp. 131–133.
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.
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.
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.
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.
Chebykin I. A. Three Principles of Effective Bridge Monitoring: An Engineer’s Practical Experience // Road State. — 2025. — No. 133. — pp. 13–16.
Hackathon “Battle of IT Titans”
Hackathon “Battle of IT Titans”
Hackathon “Battle of IT Titans”
Hackathon “Battle of IT Titans”
Round Table “Innovative Technologies for Unmanned Systems”
Round Table “Innovative Technologies for Unmanned Systems”
Award Ceremony for Digital Department Graduates
Cooperation Agreement with the Transport Laboratory of IRNITU
Scientific Conference “Modernization and Research in the Transport Sector” at PNIPU
We look forward to cooperate with your educational institution!