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The methodology used is to generate a number of years of simulated traffic and to use extreme value statistics to predict more accurately the characteristic loading for a given bridge. The parameters and probability distributions used in the Monte Carlo simulation must be based on observed sample traffic data. Some previous studies have made unsubstantiated assumptions regarding correlation between the Gross Vehicle Weights (GVW) of trucks in the same lane, or between trucks in adjacent, same-direction lanes. For this paper, an extensive database of Dutch Weigh-in-Motion data is analysed. Data are collected from two same-direction lanes and are time-stamped to the nearest 0.01 seconds. The statistical characteristics of this set of data are presented, and various techniques are used to establish the nature and extent of GVW correlation.
Enright, B., O'Brien, E. J. and Caprani, C. C. (2006), 'Study of same-lane and inter-lane GVW correlation', In: P. K. Das and M. K. Chryssanthopoulos, eds. 3rd International ASRANet Colloquium, Glasgow, Paper 101.