Kemp, LanaSteenkamp, Anton JNordengen, Paul A2018-12-032018-12-032018-10Kemp, L., Steenkamp, A.J. and Nordengen, P.A. 2018. Methodology for estimating the road wear cost of heavy vehicles on a road network. International Symposium on Heavy Vehicle Transport Technology, 2-5 October 2018, De Doelen, Rotterdam, Netherlandshttp://www.hvtt15.com/wp-content/uploads/2018/09/180928-Scientific-Technical-Sessions-HVTT15.pdfhttp://hdl.handle.net/10204/10575Paper presented at the International Symposium on Heavy Vehicle Transport Technology, 2-5 October 2018, De Doelen, Rotterdam, NetherlandsHeavy vehicle traffic volumes continue to increase globally, causing the accelerated deterioration of pavement structures. This paper introduces an innovative methodology that quantifies road consumption attributed to heavy vehicles on a paved road network. This methodology combines weighbridge and traffic count data and uses Mechanistic Empirical methods for accurate estimations of road wear. Polynomial regression models were developed to reduce simulation times and to accurately predict the road wear caused by different heavy vehicle configurations. The reduction in analysis time enables parametric studies to be conducted that can provide useful insights into the interplay and relative importance of various parameters. Road wear is converted to a monetary value, giving useful insights for infrastructure management, spatial planning, funding and maintenance, and will help with decision-making in this regard. This methodology is registered as a CSIR Technology Demonstrator Tool and Namibia has incorporated this in their asset management strategy.enHeavy vehiclesRoad wearCost estimationPavement loadingBridge loadingLifecycle managementConference PresentationKemp, L., Steenkamp, A. J., & Nordengen, P. A. (2018). Methodology for estimating the road wear cost of heavy vehicles on a road network. http://hdl.handle.net/10204/10575Kemp, Lana, Anton J Steenkamp, and Paul A Nordengen. "Methodology for estimating the road wear cost of heavy vehicles on a road network." (2018): http://hdl.handle.net/10204/10575Kemp L, Steenkamp AJ, Nordengen PA, Methodology for estimating the road wear cost of heavy vehicles on a road network; 2018. http://hdl.handle.net/10204/10575 .TY - Conference Presentation AU - Kemp, Lana AU - Steenkamp, Anton J AU - Nordengen, Paul A AB - Heavy vehicle traffic volumes continue to increase globally, causing the accelerated deterioration of pavement structures. This paper introduces an innovative methodology that quantifies road consumption attributed to heavy vehicles on a paved road network. This methodology combines weighbridge and traffic count data and uses Mechanistic Empirical methods for accurate estimations of road wear. Polynomial regression models were developed to reduce simulation times and to accurately predict the road wear caused by different heavy vehicle configurations. The reduction in analysis time enables parametric studies to be conducted that can provide useful insights into the interplay and relative importance of various parameters. Road wear is converted to a monetary value, giving useful insights for infrastructure management, spatial planning, funding and maintenance, and will help with decision-making in this regard. This methodology is registered as a CSIR Technology Demonstrator Tool and Namibia has incorporated this in their asset management strategy. DA - 2018-10 DB - ResearchSpace DP - CSIR KW - Heavy vehicles KW - Road wear KW - Cost estimation KW - Pavement loading KW - Bridge loading KW - Lifecycle management LK - https://researchspace.csir.co.za PY - 2018 T1 - Methodology for estimating the road wear cost of heavy vehicles on a road network TI - Methodology for estimating the road wear cost of heavy vehicles on a road network UR - http://hdl.handle.net/10204/10575 ER -