Modeling same-direction two-lane traffic for bridge loading

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Title: Modeling same-direction two-lane traffic for bridge loading
Authors: O'Brien, Eugene J.
Enright, Bernard
Permanent link: http://hdl.handle.net/10197/3062
Date: Jul-2011
Abstract: 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.
Funding Details: Other funder
Type of material: Journal Article
Publisher: Elsevier
Copyright (published version): 2011 Elsevier Ltd. All rights reserved.
Keywords: BridgeTraffic loadingMonte Carlo simulationBootstrapKernel density estimatorsCorrelation
Subject LCSH: Bridges--Live loads--Computer simulation
Monte Carlo method
Bootstrap (Statistics)
Kernel functions
DOI: 10.1016/j.strusafe.2011.04.004
Language: en
Status of Item: Peer reviewed
Appears in Collections:Urban Institute Ireland Research Collection
Critical Infrastructure Group Research Collection
Earth Institute Research Collection
Civil Engineering Research Collection

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