Transactions on Transport Sciences 2025, 16(3):16-22 | DOI: 10.5507/tots.2025.006
Approaches to the Data Governance in Transportation Domain - Data Quality Rules Design and an Example of Traffic Data Inspection
- Czech Technical University in Prague, Faculty of Transportation Sciences, Department of Transport Tekematics, Konviktská 20, 110 00 Prague, Czech Republic
The paper focuses on the practical application of procedures for the design and creation of a complex system of data quality rules in transportation domain. The aim of the research was to verify the feasibility of implementing all relevant practices of the data governance concept for the specific needs of transportation data and to present possible ways of quality evaluation of these data. The paper describes the proposed requirements, tools and methodology for developing a complex approach to data governance and data quality evaluations. The functionality and benefits of the proposed procedures and their real implementation have been verified by applying the procedures on real data from selected profiles of the D11 motorway in the Czech Republic from the year 2023. The discussed results demonstrate the functionality of the proposed solution and allow for future large-scale application of the verified procedure across the full geographic coverage of the data. It is also possible to apply the procedures and rules to other data sources or data from other types of roads including urban traffic.
Keywords: data governance, data quality, data quality rules, traffic data quality check
Received: May 1, 2025; Revised: May 1, 2025; Accepted: May 6, 2025; Published: May 28, 2025 Show citation
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References
- Hrubeš P., Langr M., Purkrábková Z. (2024). Review of Data Governance Approaches in the Field of Transportation Domain, Smart City Symposium Prague - IEEE proceedings, Prague, Czech Republic, 2024, pp. 1-7, doi: 10.1109/SCSP61506.2024.10552682.
Go to original source... - Mlynářová T., Hrubeš P. et al.(2023). Metodika přístupu k datové kvalitě, Research Report (in czech). Prague.
- Purkrábková Z., Langr M., Hrubeš P., Brabec M. (2024). Data Governance in Traffic Data: Anomaly Detection with Generalized Additive Models, Neural Network World, 2024, pp. 203-218 Go to original source...
- Purkrábková Z., Langr M., Hrubeš P., Brabec M. (2025). Detecting anomalies in traffic data using a flexible semi-parametric model, European Transport Research Review 2025, to be publish Go to original source...
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