Using the Kalman Filter for Purposes of Road Condition Assessment

  • Marcin StaniekEmail author
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 1091)


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.


Road pavement condition Assessment of road infrastructure Vehicle motion dynamics Smart city ICT application 



The selected research presented in this paper has been financed from the means of the National Centre for Research and Development as a part of the international project within the scope of ERA-NET Transport III Programme “Smart platform to integrate different freight transport means, manage and foster first and last mile in supply chains (S-MILE)”.


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© Springer Nature Switzerland AG 2020

Authors and Affiliations

  1. 1.Faculty of TransportSilesian University of TechnologyKatowicePoland

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