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Modeling same-direction two-lane traffic for bridge loading
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DOI：10.1016/j.strusafe.2011.04.004.png)
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Abstract
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Many highway bridges carry traffic in two same-direction lanes, and modeling the traffic loading on such bridges has been the subject of numerous studies. Different assumptions have been used to model multiple-presence loading events, particularly those featuring one truck in each lane. Using a database of weigh-in-motion measurements collected at two European sites for over 1 million trucks, this paper examines the relationships between adjacent vehicles in both lanes in terms of vehicle weights, speeds and inter-vehicle gaps. It is shown that there are various patterns of correlation, some of which are significant for bridge loading. A novel approach to the Monte Carlo simulation of such traffic is presented which is relatively simple to apply. This is a form of smoothed bootstrap in which kernel functions are used to add randomness to measured traffic scenarios. It is shown that it gives a better fit to the measured data than models which assume no correlation. Results are presented from long-run simulations of traffic using the different models and these show that correlation may account for an increase of up to 8% in lifetime maximum loading. (C) 2011 Elsevier Ltd. All rights reserved.
Keywords:
Bridge
Traffic loading
Monte Carlo simulation
Bootstrap
Kernel density estimators
Correlation
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Extensions of Turkstra's rule and their application to combination of dependent load effects.png)
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