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
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;
Conference_Titel :
Intelligent Vehicles Symposium (IV), 2013 IEEE
Conference_Location :
Gold Coast, QLD
Print_ISBN :
978-1-4673-2754-1
DOI :
10.1109/IVS.2013.6629442
