Using data mining to predict road crash count with a focus on skid resistance values
Emerson, Daniel, Nayak, Richi, & Weligamage, Justin (2011) Using data mining to predict road crash count with a focus on skid resistance values. In 3rd International Road Surface Friction Conference, 15-18 May, 2011, Gold Coast, Queensland, Australia. (In Press)
Road crashes cost world and Australian society a significant proportion of GDP, affecting productivity and causing significant suffering for communities and individuals. This paper presents a case study that generates data mining models that contribute to understanding of road crashes by allowing examination of the role of skid resistance (F60) and other road attributes in road crashes. Predictive data mining algorithms, primarily regression trees, were used to produce road segment crash count models from the road and traffic attributes of crash scenarios. The rules derived from the regression trees provide evidence of the significance of road attributes in contributing to crash, with a focus on the evaluation of skid resistance.
Citation countsare sourced monthly fromand citation databases.
These databases contain citations from different subsets of available publications and different time periods and thus the citation count from each is usually different. Some works are not in either database and no count is displayed. Scopus includes citations from articles published in 1996 onwards, and Web of Science generally from 1980 onwards.
Citations counts from theindexing service can be viewed at the linked Google Scholar™ search.
Full-text downloadsdisplays the total number of times this work’s files (e.g., a PDF) have been downloaded from QUT ePrints as well as the number of downloads in the previous 365 days. The count includes downloads for all files if a work has more than one.
|Item Type:||Conference Paper|
|Keywords:||Road crashes, predictive data mining, data mining, road asset management|
|Subjects:||Australian and New Zealand Standard Research Classification > ENGINEERING (090000) > CIVIL ENGINEERING (090500) > Transport Engineering (090507)|
|Divisions:||Past > Schools > Computer Science|
Past > QUT Faculties & Divisions > Faculty of Science and Technology
|Copyright Owner:||See copyright statement below|
|Copyright Statement:||Copyright Licence Agreement The Author allows ARRB Group Ltd to publish the work/s submitted for the 3rd International Road Surface Friction Conference 2011, granting ARRB the non-exclusive right to: • publish the work in printed format • publish the work in electronic format • publish the work online. The author retains the right to use their work, illustrations (line art, photographs, figures, plates) and research data in their own future works The Author warrants that they are entitled to deal with the Intellectual Property Rights in the works submitted, including clearing all third party intellectual property rights and obtaining formal permission from their respective institutions or employers before submission, where necessary.|
|Deposited On:||12 May 2011 11:23|
|Last Modified:||12 Mar 2013 18:32|
Repository Staff Only: item control page