Crossroad traffic load estimation based on the noise level measurement

The article presents a method of a crossroad traffic load estimation based on the registered noise level. Data on the current noise level and the equivalent traffic intensity for the selected crossroad was recorded as part of the test installation of the road traffic impact assessment system for the acoustic climate. The measurement was carried out continuously over a fewmonth period. Based on the collected data, the analysis of variability of registered noise levels was carried out in relations to changes of equivalent traffic load and selected environmental parameters: temperature and relative air humidity. The use of artificial neural network has been proposed for estimating traffic load. On the basis of the equivalent noise level for the fifteen-minute interval and the values of environmental parameters averaged over the same period of time, the equivalent traffic load within the crossroad shall be determined.