Using the Kalman filter for purposes of road condition assessment

This article provides a discussion on the use of the Kalman filter at the stage of analysis of vehicle motion dynamics to assess the condition of the road transport infrastructure. The tool used to record the vehicle motion dynamics was the Road Condition Tool application designed and implemented as a part of the international S-mile project under the programme entitled ERA-NET: Transport – Sustainable logistics and supply chains. An outcome of the data recording and analysis is a description of the operating condition of road pavements. The concept addressed in the study, namely the implementation of the Kalman filter at the data analysis stage, makes it possible to reduce the input data set, which affects the measuring tool’s response time. On the other hand, the adopted signal filtration procedure allows for the infrastructure condition to be described in a more favourable manner from the perspective of the conclusions to be formulated.