A Component-Based Ambient Agent Model for Assessment of Driving Behaviour

  • Authors:
  • Tibor Bosse;Mark Hoogendoorn;Michel C. Klein;Jan Treur

  • Affiliations:
  • Department of Artificial Intelligence, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands 1081 HV;Department of Artificial Intelligence, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands 1081 HV;Department of Artificial Intelligence, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands 1081 HV;Department of Artificial Intelligence, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands 1081 HV

  • Venue:
  • UIC '08 Proceedings of the 5th international conference on Ubiquitous Intelligence and Computing
  • Year:
  • 2008

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Abstract

This paper presents an ambient agent-based model that addresses the assessment of driving behaviour. In case of negative assessment, cruise control slows down and stops the car. The agent model has been formally specified in a component-based manner in the form of an executable specification that can be used for prototyping. A number of simulation experiments have been conducted. Moreover, dynamic properties of components at different aggregation levels and interlevel relations between them have been specified and verified.