Assessing wet crashes for the skid resistance management of road assets

Noppadol Piyatrapoomi, Justin Weligamage, Lyle Turner

Research output: Chapter in Book/Report/Conference proceedingConference PaperResearchpeer-review

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 languageEnglish
Title of host publicationProceedings of the 3rd World Congress on Engineering Asset Management and Intelligent Maintenance Systems
EditorsGao Jinji, Jay Lee, Jun Ni, Lin Ma, Joseph Mathew
Place of PublicationAustralia
PublisherSpringer-Verlag London Ltd.
Pages1299 - 1307
Number of pages9
Publication statusPublished - 2009
EventWorld Congress on Engineering Asset Management 2009 - Beijing, China, Beijing, China
Duration: 1 Jan 2009 → …

Conference

ConferenceWorld Congress on Engineering Asset Management 2009
CountryChina
CityBeijing
Period1/01/09 → …

Cite this