Validity of Speed-Based Congestion Detection in Traffic Data

In the Czech Republic, floating car data currently serve as a supplementary source of information on traffic conditions. This data source may become advantageous in the future, particularly due to its availability and independence from fixed infrastructure. Although this data includes several parameters related to congestion, its validity has not been sufficiently documented. This article focuses on analyzing the relationship between vehicle speed, travel time, and congestion detection to verify the quality and reliability of this data. Through statistical analyses, consistent correlations between speed parameters and travel time were identified, confirming their suitability for further traffic modeling. On the other hand, parameters related to congestion detection exhibit significant variability, indicating the need for more in-depth analysis and the application of more sophisticated modeling methods.