Statistical Control for Road Pavements

David Griffiths, Chandra Gulati and Jim Ollis

Australian & New Zealand Journal of Statistics, 2003, vol. 45, issue 2, pages 129-140

Abstract: Roads are assets vital to the economies of nations, particularly those with such low population density as Australia and New Zealand. The quality of road construction is of great importance. The application of statistical techniques to determining whether the construction of road pavement is being carried out to the design specification can be of great benefit to administrators and contractors. In this paper, a method is presented for obtaining control limits for a means chart when correlated observations are taken over a grid on a two-dimensional surface. Data from a closely monitored road construction project are used to determine if the construction process can be considered 'in control'. The nature of the correlation structure is determined using ARIMA models. The ultimate aim of the control charts and specifications is to control base course thickness. Controlling the pavement surfaces is a means to this end. Copyright 2003 Australian Statistical Publishing Association Inc..

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