Transport And Communications 2025, 13(2):1-8 | DOI: 10.26552/tac.C.2025.2.1

Synthetic Data for Resilient Urban Traffic Systems: A Methodological Framework

Maroš Jakubec1, Radovan Madleňák2, Michal Palčák1, Pavol Kudela1, Eva Jakubcová1, Daniel Gachulinec2, Viktória Cvacho2
1 University Science Park UNIZA, University of Žilina, Univerzitná 8215/1, 010 26 Žilina, Slovakia
2 Faculty of Operation and Economics of Transport and Communications, University of Žilina, Univerzitná 8215/1, 010 26 Žilina, Slovakia

Urban traffic models often struggle with rare and disruptive events because real-world data for such situations are limited. This article presents the SynTraffic project, which explores the use of synthetic traffic data to support more robust and resilient traffic modelling. The proposed approach combines real-world observations with artificially created traffic scenarios to expand the range of conditions available for model development. The methodology is demonstrated using the city of Žilina as a representative urban case with complex traffic patterns and long-term monitoring infrastructure. The article focuses on the theoretical background, methodological design, and expected benefits of synthetic data in intelligent transportation systems, highlighting its potential to address data scarcity, support privacy-aware analysis, and improve the handling of unusual traffic conditions.

Keywords: synthetic traffic data, urban traffic modelling, intelligent transportation systems, traffic resilience
JEL classification: L91, R41

Received: December 18, 2025; Revised: December 19, 2025; Accepted: December 21, 2025; Prepublished online: December 31, 2026; Published: December 31, 2025  Show citation

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Jakubec, M., Madleňák, R., Palčák, M., Kudela, P., Jakubcová, E., Gachulinec, D., & Cvacho, V. (2025). Synthetic Data for Resilient Urban Traffic Systems: A Methodological Framework. Transport And Communications, 13(2), 1-8. doi: 10.26552/tac.C.2025.2.1
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