Welcome to the InfoSci Platform
Reference Hub4
Accident Causation Factor Analysis of Traffic Accidents using Rough Relational Analysis

Accident Causation Factor Analysis of Traffic Accidents using Rough Relational Analysis

Caner Erden, Numan Çelebi
Copyright: © 2016 |Volume: 3 |Issue: 3 |Pages: 12
ISSN: 2334-4598|EISSN: 2334-4601|EISBN13: 9781466695986|DOI: 10.4018/IJRSDA.2016070105
Cite Article Cite Article

MLA

Erden, Caner, and Numan Çelebi. "Accident Causation Factor Analysis of Traffic Accidents using Rough Relational Analysis." IJRSDA vol.3, no.3 2016: pp.60-71. http://doi.org/10.4018/IJRSDA.2016070105

APA

Erden, C. & Çelebi, N. (2016). Accident Causation Factor Analysis of Traffic Accidents using Rough Relational Analysis. International Journal of Rough Sets and Data Analysis (IJRSDA), 3(3), 60-71. http://doi.org/10.4018/IJRSDA.2016070105

Chicago

Erden, Caner, and Numan Çelebi. "Accident Causation Factor Analysis of Traffic Accidents using Rough Relational Analysis," International Journal of Rough Sets and Data Analysis (IJRSDA) 3, no.3: 60-71. http://doi.org/10.4018/IJRSDA.2016070105

Export Reference

Mendeley
Favorite Full-Issue Download

Abstract

The aim of this study is to show that the decision rules generated from Rough Sets Theory can be used for a new relational analysis. Rough Sets Theory generally works with small datasets more than big data. If we can deal with the decision rules and its complexities, it is still possible to analyze big data with Rough Set Theory. That is why in this study the authors offer a statistical method to overdue problems which belongs to big data. According statistical methods, a lots of decision rules generated from rough sets theory become useful information. Using a real case data on the traffic accident which were taken place in USA in 2013, this paper finds the relationships between accident causation factors which may be referred to decision makers in the field of traffic.

Request Access

You do not own this content. Please login to recommend this title to your institution's librarian or purchase it from the IGI Global bookstore.