Publication | Closed Access
Driver's style classification using jerk analysis
269
Citations
8
References
2009
Year
Unknown Venue
EngineeringMachine LearningTraffic FlowIntelligent SystemsImage AnalysisDynamic BehaviorData ScienceData MiningPattern RecognitionTraffic PredictionDriver BehaviorAffective ComputingSystems EngineeringTraffic SimulationTransportation EngineeringPredictive AnalyticsComputer ScienceJerk ProfileDriver PerformanceDriving StyleComputer VisionStyle ClassificationClassifier System
This paper presents an innovative approach to classifying the driver's driving style by analyzing the jerk profile of the driver. Driving style is a dynamic behavior of a driver on the road. At times a driver can be calm but aggressive at others. The information about driver's dynamic driving style can be used to better control fuel economy. We propose to classify driver's style based on the measure of how fast a driver is accelerating and decelerating. We developed an algorithm that classifies driver's style utilizing the statistical information from the jerk profile and the road way type and traffic congestion level prediction. Our experiment results show that our approach generates more reasonable results than those generated by using other published methods.
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