Data mining the relationship between road crash and skid resistance

Emerson, Daniel, Nayak, Richi, & Weligamage, Justin (2014) Data mining the relationship between road crash and skid resistance. Lecture Notes in Mechanical Engineering, 2015, pp. 229-240.

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Abstract

Road asset managers are seeking analysis of the whole road network to supplement statistical analyses of small subsets of homogeneous roadway. This study outlines the use of data mining capable of analyzing the wide range of situations found on the network, with a focus on the role of skid resistance in the cause of crashes. Results from the analyses show that on non-crash-prone roads with low crash rates, skid resistance contributes only in a minor way, whereas on high-crash roadways, skid resistance often contributes significantly in the calculation of the crash rate. The results provide evidence supporting a causal relationship between skid resistance and crashes and highlight the importance of the role of skid resistance in decision making in road asset management.

Impact and interest:

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ID Code: 75949
Item Type: Journal Article
Refereed: Yes
Additional Information: Special issue for the the 7th World Congress on Engineering Asset Management (WCEAM 2012)
Keywords: Operating procedures, Materials treatment, Innovation/technology management
DOI: 10.1007/978-3-319-06966-1_22
ISSN: 2195-4356
Divisions: Current > Schools > School of Electrical Engineering & Computer Science
Current > QUT Faculties and Divisions > Science & Engineering Faculty
Copyright Owner: © Copyright 2014 by Springer International Publishing Switzerland
Deposited On: 08 Sep 2014 04:29
Last Modified: 11 Sep 2014 05:10

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