Heyns, TheoHeyns, P.S. (Philippus Stephanus)De Villiers, Johan Pieter2012-03-012012-03-012012-04Heyns, T, Heyns, PS & De Villiers, JP, A method for real-time condition monitoring of haul roads based on Bayesian parameter estimation, Journal of Terramechanics, vol. 49, no. 2, pp.103–113 (2012), doi: 10.1016/j.jterra.2011.12.0010022-4898 (print)1879-1204 (online)10.1016/j.jterra.2011.12.001http://hdl.handle.net/2263/18319Current haul road management techniques, such as routine, periodic and urgent maintenance have shortcomings in many complex haul road environments. Real-time road condition monitoring may significantly reduce maintenance costs, both to the road and to the vehicles. A recent idea is that vehicle on-board data collection systems could be used to monitor haul roads on a real-time basis by means of vibration signature analysis. This paper proposes a methodology based on Bayesian regression to isolate the effect of varying vehicle speed on the measured vehicle response metric. A key feature of the proposed methodology is that it avoids the costly need to generate analytical or empirical vehicle models.en© 2011 ISTVS. Published by Elsevier Ltd. All rights reserved.Monitoring of road conditionBayesian parameter estimationCondition based maintenanceHighway engineeringRoads deteriorationRoads -- Maintenance and repairRoads -- Riding quality -- TestingHighway researchTrucks -- VibrationBayesian statistical decision theoryPostprint Article