Abstract
Various disciplines use the same or similar terminology for driver models — vehicle and traffic engineering, psychology, human factors, artificial intelligence to mention the most common; however, the definition of the term varies not only between disciplines but even between different researchers within any given discipline. Recent efforts in applied psychology and human factors have emphasised the need of developing models that can be implemented and used in computer simulation, hence representing a possible link between these disciplines, and also a chance to consider the broader picture of driver model within a transportation/traffic system. In order to discuss this link, the authors organised a workshop on driver modelling during the 84th annual meeting of the Transportation Research Board, Washington, DC. The workshop was attended by 25 researchers from the various fields listed above and lead researchers from the United States, Europe and Asia.
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References
Anderson, J.R., Bothell, D., Byrne, M.D., Douglass, S., Lebiere, C. and Qin, Y. (2004) An integrated theory of the mind. Psychological Review, 111, 1036–1060.
Brackstone, M. (2000). An examination of the use of fuzzy sets to describe relative speed. Perception Ergonomics, 43(4), 528–542.
Brackstone, M., McDonald, M. and Wu, J. (1997). Development of a fuzzy logic based microscopic motorway simulation model. In Proceedings of the IEEE Conference on Intelligent Transportation Systems (ITSC97). Boston, MA.
Jackson, D.L. and Bhise, V.D. (2002). An evaluation of the IVIS-DEMAnD driver attention demand model. Report No. SAE 2002-01-0092, UMTRI-95608 A08. Human Factors in Seating and Automotive Telematics, Warrendale, SAE, pp. 61–70.
Salvucci, D.D., Boer, E.R., and Liu, A. (2001). Toward an integrated model of driver behavior in a cognitive architecture. Transportation Research Record, 1779, 9–16.
Salvucci, D.D., Zuber, M., Beregovaia, E., and Markley, D. (2005). Distract-R: Rapid prototyping and evaluation of in-vehicle interfaces. In Proceedings of Human Factors in Computing Systems. Portland, OR.
Theeuwes, J. (2001). The effects of road design on driving. In Pierre-Emmanuel Barjonet (Ed.). Traffic Psychology Today (pp. 241–263). Kluwer, Boston, MA.
Wu, J., Brackstone, M. and McDonald, M. (2000). Fuzzy sets and systems for a motorway microscopic simulation model. Fuzzy Sets and Systems 116(1), 65–76.
Wu, J., Brackstone, M. and McDonald, M. (2003). The validation of a microscopic simulation model: A methodological case study. Transportation Research C, 11(6), 463–479.
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© 2007 Springer-Verlag London Limited
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Cody, D., Gordon, T. (2007). TRB Workshop on Driver Models: A Step Towards a Comprehensive Model of Driving?. In: Cacciabue, P.C. (eds) Modelling Driver Behaviour in Automotive Environments. Springer, London. https://doi.org/10.1007/978-1-84628-618-6_2
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DOI: https://doi.org/10.1007/978-1-84628-618-6_2
Publisher Name: Springer, London
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