Anomaly detection in driving behaviour by road profiling
Intelligent Vehicles Symposium（2013）
摘要
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.
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关键词
statistical hypothesis test,road safety,statistical testing,statistical analysis,vehicles fleet,roads,road cross-sectional profiles,anomalous driving behavior,anomaly detection,road profiling,anomalous driving behavior detection,driver information systems,data mining,road traffic,statistical method
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