171
Views
3
CrossRef citations to date
0
Altmetric
Original Articles

A model for estimating road wear on in-service roads

Pages 237-244 | Received 03 Jan 2005, Accepted 07 Mar 2006, Published online: 15 May 2007
 

Abstract

This article presents a new approach to estimating road wear, where the observation units are in-service roads of the Norwegian national road network, operating under normal traffic conditions. Since the early 1990s, Norway has deployed automatic traffic control units along its national roads. These units can, by a simple modification, be used as weigh-in-motion devices. This makes collecting axle load data from a relatively large number of observation sites cost effective. The new data from weighing vehicles in motion, and from the regular monitoring of the road surface, enable a new approach to modelling road wear developments. A first rutting model is developed based on these data, and the results obtained from it, suggest that Norwegian national roads may be so solid that there is no significant marginal impact from heavy axle loads. Total annual marginal road wear costs based on these estimates appear to be significantly lower than anticipated.

Acknowledgements

The author appreciates comments received on this paper from four anonymous referees. I am also grateful for the valuable comments on an early draft given by Professor Les Foulds. All remaining errors are the author's alone.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 225.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.