Abstract
Managing road asset condition to minimise road crashes is an important task for road agencies
worldwide. In Australia, road crash trauma costs the nation A 15 billion annually whilst the
US estimates an economic impact of around US 230 billion on its network. Worldwide
economic cost of road crashes is estimated to be around US 518 billion each year. Road
accidents occur due to a number of factors including driver behaviour, geometric alignment,
vehicle characteristics, environmental impacts, and the type and condition of the road
surfacing. Skid resistance is considered one of the most important road surface characteristics
because it has a direct effect on traffic safety. In 2005, Austroads (the Association of
Australian and New Zealand Road Transport and Traffic Authorities) published a guideline
for the management of skid resistance and Queensland Department of Main Roads (QDMR)
developed a skid resistance management plan (SRMP). The current QDMR strategy is based
on rationale analytical methodology supported by field inspection with related asset
management decision tools. The Austroads?s guideline and QDMR s skid resistance
management plan have prompted QDMR to review its skid resistance management practice.
As a result, a joint research project involving QDMR, Queensland University of Technology
(QUT) and the Corporative Research Centre for Integrated Engineering Asset Management
(CRC CIEAM) was formed. The research project aims at investigating whether there is
significant relationship between road crashes and skid resistance on Queensland?s road
networks. If there is, the current skid resistance management practice of QDMR will be
reviewed and appropriate skid resistance investigatory levels will be recommended. This
paper presents analysis results in assessing the relationship between wet crashes and skid
resistance on Queensland roads. Attributes considered in the analysis include surface types,
annual average daily traffic (AADT), speed and seal age.
Original language | English |
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Title of host publication | Proceedings of the 3rd World Congress on Engineering Asset Management and Intelligent Maintenance Systems |
Editors | Gao Jinji, Jay Lee, Jun Ni, Lin Ma, Joseph Mathew |
Place of Publication | Australia |
Publisher | Springer-Verlag London Ltd. |
Pages | 1299 - 1307 |
Number of pages | 9 |
Publication status | Published - 2009 |
Event | World Congress on Engineering Asset Management 2009 - Beijing, China, Beijing, China Duration: 1 Jan 2009 → … |
Conference
Conference | World Congress on Engineering Asset Management 2009 |
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Country/Territory | China |
City | Beijing |
Period | 1/01/09 → … |