Heyns, TheoDe Villiers, Johan PieterHeyns, P.S. (Philippus Stephanus)2012-03-012012-03-012012Heyns,T, De Villiers, JP & Heyns, PS, 'Consistent haul road condition monitoring by means of vehicle response normalisation with Gaussian processes', Engineering Applications of Artificial Intelligence (2012), doi:10.1016/j.engappai.2012.01.0090952-1976 (print)1873-6769 (online)10.1016/j.engappai.2012.01.009http://hdl.handle.net/2263/18318Suboptimal haul road management policies such as routine, periodic and urgent maintenance may result in unnecessary cost, both to roads and vehicles. A recent idea is to continually access haul road condition based on measured vehicle response. However the vehicle operating conditions, such as its instantaneous speed, may significantly influence its dynamic response resulting in possibly ambiguous road classifications. This paper proposes vehicle response calibration by means of Gaussian process regression, so that a severity metric which is more robust to fluctuating operating conditions may be obtained.en© 2012 Elsevier. All rights reserved. Notice : this is the author’s version of a work that was accepted for publication in Engineering Applications of Artificial Intelligence. Changes resulting from the publishing process, such as peer review, editing, corrections, structural formatting, and other quality control mechanisms may not be reflected in this document. Changes may have been made to this work since it was submitted for publication. A definitive version was subsequently published in Engineering Applications of Artificial Intelligence (2012), doi:10.1016/j.engappai.2012.01.009.Road maintenanceGaussian process regressionCondition based maintenanceGaussian processesRoads -- Maintenance and repairHighway engineeringTrucks -- VibrationRoads -- Riding qualities -- TestingHighway researchPostprint Article