Measurements of urban traffic parameters before and after road reconstruction

Abstract

The study analyzed the parameters of vehicle traffic and noise on the national road in the section in the city from 2011 to 2016. In 2013–2014 this road was reconstructed. It was found that in most cases, the distribution of the tested variable was not normal. The median and selected percentiles of vehicle traffic parameters and noise were examined. The variability and type A uncertainty of the results were described and evaluated. The results obtained for the data recorded on working and non-working days were compared. The vehicle cumulative speed distributions, for two-way four-lane road segments in both directions were analyzed. A mathematical model of normalized traffic flow has been proposed. Fit factor R2 of the proposed equations to the experimental data for passenger vehicles ranges from 0.93 to 0.99. It has been shown that two years after the road reconstruction, the median noise level did not increase even though traffic volumes and vehicle speeds increased. The Cnossos noise model was validated for data recorded over a period of 6 years. A very good agreement of the medians determined according to the Cnossos-EU model and the measured ones was obtained. It should be noted, however, that for the other analyzed percentiles, e.g. 95%, the discrepancies are larger.

Performance Evaluation of Nord2000, RTN-96 and CNOSSOS-EU against Noise Measurements in Central Jutland, Denmark

“…B ąkowski and Radziszewski [76] also compared CNOSSOS model predictions with noise recording in Kielce, Poland, and found a good agreement between measured and modeled median values. Similarly, Vergoed and van Leeuwen [77] evaluated CNOSSOS' performance in the Netherlands and found a good agreement (deviations up to 2 dBA) between model estimates and measurements.…”

Analysis of the Traffic Parameters on a Section in the City of the National Road during Several Years of Operation

“…These equations were then derived for each year. Values of the coefficients appearing in these equations depend on the year for which an analysis was performed and presented in [30]. The advantage of this model is that the coefficient of fitting the model curves to the experimental data is approximately R 2 = 0.99.…”