Information · 2021 · 12 citations · 25 references
EngineeringAutomotive EngineeringAutomationAutonomous VehiclesVehicle Safety EngineeringAutomation System DesignFormal OntologyIntelligent Transportation SystemsOntology DesignOntology EngineeringDriver BehaviorDriver Behavior ModelingDriving Behavior ModelingDriving PatternsDriving Style ClassificationHuman Factors In Driving
In the human-centered research on automated driving, it is common practice to describe the vehicle behavior by means of terms and definitions related to non-automated driving. However, some of these definitions are not suitable for this purpose. This paper presents an ontology for automated vehicle behavior which takes into account a large number of existing definitions and previous studies. This ontology is characterized by an applicability for various levels of automated driving and a clear conceptual distinction between characteristics of vehicle occupants, the automation system, and the conventional characteristics of a vehicle. In this context, the terms ‘driveability’, ‘driving behavior’, ‘driving experience’, and especially ‘driving style’, which are commonly associated with non-automated driving, play an important role. In order to clarify the relationships between these terms, the ontology is integrated into a driver-vehicle system. Finally, the ontology developed here is used to derive recommendations for the future design of automated driving styles and in general for further human-centered research on automated driving.
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Driver's style classification using jerk analysis
Yi Lu Murphey, R. S. Milton, Leonidas Kiliaris · 2009 · 271 citations
Hanna Bellem, Barbara Thiel, Michael Schrauf et al. · Transportation Research Part F Traffic Psychology and Behaviour · 2018 · 232 citations