Test	Description and motivation
Normality	We use the Kolmogorov-Smirnov (KS) test [@251014], with a 0.05 significance level to test the normality of the samples.
Comparing medians	We apply the Wilcoxon signed-rank test for dependent (paired) data, with the null hypothesis is that there is no significant difference between the medians of the paired samples.
Comparing variances	For paired data, we use the Fligner-Killeen test, as proposed by [c@251015] for data with many ties. The null hypothesis is that the variances of the two distributions are equal. For the whole distributions, we use Levene’s test for equality of variances.
Distribution shape	We conduct KS-tests with regard to the number of times each vehicle crossed the cordon during peak hours, and the ratio of this and number of crossing events.