A comprehensive driver behavior model for the evaluation of intelligent intersections

Nina Schaap, Bart van Arem

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Many traffic problems occur on urban intersections. Advanced Driver Assistance Systems aim to solve these problems. However, their effects cannot be deduced directly from observing normal driving behavior, because adding a system alters the driving task. A model must be used to represent both normal intersection driving and interaction with ADAS. By using the structure of the driving task, it becomes possible to extend driver models beyond single subtasks. Five modeling tools have been reviewed; none fully fit all reviewing criteria. Nevertheless, we select a promising research approach based on a combination of tools, specifically using a Multi-Agent Systems framework.
Original languageUndefined
Title of host publicationProceedings 13th World Congress on Intelligent Transport Services and Systems (ITS), 8-12 October 2006, London, UK
Place of PublicationLondon, UK
Number of pages8
Publication statusPublished - 8 Oct 2006
Event13th World Congress on Intelligent Transport Systems and Services, ITS 2006 - London, United Kingdom
Duration: 8 Oct 200612 Oct 2006
Conference number: 13


Conference13th World Congress on Intelligent Transport Systems and Services, ITS 2006
Abbreviated titleITS
Country/TerritoryUnited Kingdom


  • METIS-237144
  • Driving behavior modeling
  • intersection
  • ADAS
  • IR-101578

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