Distraction and inattention in the driver model library:

• Main Authors: Hogema, J.H., Martens, M.H., Ubink, E.M.
• Format: Article in Journal/Newspaper
• Language: English
• Published: 2011
• Subjects: Traffic; Driver distraction; Driver model; Resources; Task hierarchy; Attention model; inattention; driving; Human; PCS - Perceptual and Cognitive Systems TPI - Training & Performance Innovations; BSS - Behavioural and Societal Sciences; DML
• Online Access: http://resolver.tudelft.nl/uuid:bfd74615-f414-4c63-b030-cb18e1a0611d

TNO is developing a Driver Model Library (DML) to provide computational models of driver behaviour and decision making for use as a cross-platform plug-in for traffic simulations. The DML is based on a multi-agent cognitive framework which models the individual driving tasks (such as navigation, overtaking, gap acceptance, etc.) and the influences on those tasks as separate agents. It can be used in combination with several traffic simulation models. The framework includes a resource management system, allowing stressors that affect driving performance and safety to be modelled, such as fatigue. In order to accurately model driver behaviour and performance, the DML will need to account for driver distraction and inattention. In this paper we will describe how data and theories on driver distraction and inattention can be implemented, using the resource system in the DML.