Data mining the relationship between road crash and skid resistance


Autoria(s): Emerson, Daniel; Nayak, Richi; Weligamage, Justin
Data(s)

01/08/2014

Resumo

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.

Identificador

http://eprints.qut.edu.au/75949/

Publicador

Springer International Publishing

Relação

DOI:10.1007/978-3-319-06966-1_22

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.

Direitos

© Copyright 2014 by Springer International Publishing Switzerland

Fonte

School of Electrical Engineering & Computer Science; Science & Engineering Faculty

Palavras-Chave #Operating procedures #Materials treatment #Innovation/technology management
Tipo

Journal Article