DocumentCode
3500443
Title
Anomaly detection in driving behaviour by road profiling
Author
Agamennoni, Gabriel ; Ward, Jon R. ; Worrall, Stewart ; Nebot, Eduardo M.
Author_Institution
Australian Centre for Field Robot., Univ. of Sydney, Sydney, NSW, Australia
fYear
2013
fDate
23-26 June 2013
Firstpage
25
Lastpage
30
Abstract
This paper presents a statistical method for detecting anomalous driving behavior by analyzing cross-sectional profiles of the road. A profile captures the way vehicles normally traverse the road; a statistical hypothesis test determines whether the observed behavior is anomalous. Experimental results on genuine data collected by a fleet of vehicles demonstrates the potential of this new method.
Keywords
data mining; driver information systems; roads; statistical testing; anomalous driving behavior; anomaly detection; road cross-sectional profiles; statistical hypothesis test; statistical method; vehicles fleet; Australia; Cost function; Global Positioning System; Probability; Roads; Statistical analysis; Vehicles;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Vehicles Symposium (IV), 2013 IEEE
Conference_Location
Gold Coast, QLD
ISSN
1931-0587
Print_ISBN
978-1-4673-2754-1
Type
conf
DOI
10.1109/IVS.2013.6629442
Filename
6629442
Link To Document