Pavement Monitoring

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About me

I received my bachelor degree in Computer Sciences at National Aviation University (former Kiev International University of Civil Aviation) (Kiev, Ukraine) in 2000.

I received the master degree in Computer Sciences Computer Sciences at National Aviation University (former Kiev International University of Civil Aviation) (Kiev, Ukraine) in 2002. The research topic for my master study was "Modelling of pitch and roll movement of TU-154 Aircraft".

I also hold a minor degree in International Business Administration IBA from the National Aviation University (former Kiev International University of Civil Aviation)(Kiev, Ukraine) in 2001

Currently, I am a PhD candidate in Pervasive System Reserch Group, University of Twente. I am working in the "Road Pavement Monitoring". The aim of this project is to develope techniques and tools for monitoring the road pavement surface for preventive maintenance and anomaly detection using smart mobile platforms.

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Started Working on IRI

The International Roughness Index (IRI) is the roughness index most commonly obtained from measured longitudinal road profiles. It is calculated using a quarter-car vehicle math model, whose response is accumulated to yield a roughness index with units of slope (in/mi, m/km, etc.).[1] Since its introduction in 1986,[2] [3] IRI has become the road roughness index most commonly used worldwide for evaluating and managing road systems.

The measurement of IRI is required for data provided to the United States Federal Highway Administration, and is covered in several standards from ASTM International: ASTM E1926 - 08,[4] ASTM E1364 - 95(2005),[5] and others. IRI is also used to evaluate new pavement construction, to determine penalties or bonus payments based on smoothness.

 

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