Abstract
Intelligent transport system (ITS) is a generic concept, which covers a wide range of systems. In this context the concept is applied on automotive systems and comprises systems generally defined as (advanced) driver assistance systems (ADAS/DAS), in-vehicle information systems (IVIS) and roadside telematics (RT). The present text focuses on anti-locking brake systems (ABS), which is used as an illustrative example of an ITS, mainly because evaluation studies have shown unintended effects that call for explanations. ABS, which aims to maintain the steering capacity during (heavy) braking by preventing the wheels from locking, is considered a driver assistance system (DAS). ABS has become an increasingly standard equipment of new car makes and has been around for more than 20 years. Several studies have evaluated the effects of ABS on behaviour and accidents and the system is a case of special interest for several reasons: One is the demonstration of risk compensation associated with ABS and other reasons are contra-intuitive and even detrimental effects on traffic safety. With ABS as an illustrative example, several key issues can be discussed when considering ITS in a more generic sense. Further, to better understand and predict effects of ITS, a theoretical driver behaviour model based on emotions and feelings is presented. Behavioural adaptation and risk compensation are regarded as core problems, which have to be addressed in terms of traffic safety. One of the very aims of the proposed driver behaviour model is to explain and predict risk compensation that might be associated with a given ITS.
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References
Aijzen, I. and Fishbein, M. (1980). Understanding attitudes and predicting social behaviour. Prentice-Hall, Englewood Cliffs, NJ.
Aijzen, I. (1985). From intentions to actions: A theory of planned behaviour. In J. Kuhl and Beckmann (Eds.). Action control. From cognition to behaviour. Springer Verlag, Berlin, pp. 11–40.
Aschenbrenner, K.M., Biehl, B. and Wurm, G.W. (1987). Einfluß Der Risikokompensation auf die Wirkung von Verkehrsicherheitsmassnahmen am Beispiel ABS. Schriftenreihe Unfall-und Sicherheitsforschung Straßenverkehr. Heft 63 Bergisch Gladbach, Bundesanstalt für Strassenwesen (BASt), pp. 65–70.
Assum, T., Bjørnskau, T., Fosser, S. and Sagberg, F. (1999). Risk compenasation — The case of road lighting. Accident Analysis and Prevention, 31, 545–533.
Atkinson, R.L., Atkinson, R.C., Smith, E.E., Bern, D.J. and Nolen-Hoeksema, S. (1996). Hilgard’s introduction to psychology (12th ed.). Hartcourt Brace College Publishers, Fortworth, TH.
Bechara, A., Damasio, H., Tranel, D. and Damasio, A.R. (1997). Deciding advantageously before knowing the advantageous strategy. Science, 275, 1293–1295.
Bjørnskau, T. (2003). Risk in road traffic 2001/2002. Oslo, Institute of Transport Economics. TøI report no 694/2003. (In Norwegian, with summary in English).
Brandt, B. (1994). ABS increases stopping distances in braking/evasive manoeuvre. Accident Reconstruction Journal, 41–42.
Broughton, J. and Baugha, C. (2002). The effectiveness of antilock braking systems in reducing accidents in Great Britain. Accident Analysis and Prevention, 34, 347–355.
Damasio, A.R. (1994). Descartes’ error: Emotion, reason and the human brain. G.P. Putnam’s and Sons, New York.
Dang, J.N. (2004). Preliminary results analyzing the effectiveness of electronic stability control (ESC) systems. Report no. DOT-HS-809-790. U.S. Department of Transportation, Washington, DC.
Elvik, R. and Vaa, T. (2004). The handbook of road safety measures. Elsevier, Oxford.
Evans, L. and Gerrish, P.H. (1996). Antilock brakes and risk of front and rear impact in two-vehicle crashes. Accident Analysis and Prevention, 28, 315–323.
Farmer, C. (2004). Effect of electronic stability control on automobile crash risk. Insurance Institute for Highway Safety, USA Traffic Injury Prevention.
Fuller, R. (1984). A conceptualization of driving behaviour as threat avoidance. Ergonomics, 27, 1139–1155.
Fuller, F. (2000). The task-capability interface model of the driving process, Recherche Transports Sécurité, 66, 47–59.
Gibson, J.J. and Crooks, L.E. (1938). A theoretical field-analysis of automobile-driving. The American Journal of Psychology, 51(3), 453–471.
Glad, A. (2001). Glare effects of high beam on motorcycles in daylight. Oslo, Institute of Transport Economics. TØI-report 521/2001. (In Norwegian with summary in English).
Hertz, E., Hilton, J. and Johnson, D.M. (1995A). An analysis of the crash experience of light trucks equipped with antilock braking systems. Report DOT HS 808 278. U.S. Department of Transportation, National Highway traffic Safety Administration, Washington, DC.
Hertz, E., Hilton, J. and Johnson, D.M. (1995B). An analysis of the crash experience of passenger cars equipped with antilock braking systems. Report DOT HS 808 279. U.S. Department of Transportation, National Highway traffic Safety Administration Washington, DC. (USA, smaller lorries and multi-purpose vehicles).
HLDI-Highway Loss Data Institute (1995). Three years on-the-road experience with antilock brakes. HLDI Special Report A-47. Highway Loss Data Institute Arlington, Va, (USA, cars).
Hoff, T. (2002). Mind design: Steps into an ecology of humanmachine systems. Dr. Polit. Dissertation. Trondheim, Department of Psychology and Department of Product Design Engineering, Norwegian University of Science and Technology.
Kahane, C.J. (1993). Preliminary evaluation of the effectiveness of rearwheel antilock brake systems for light trucks. Draft Report December 1993. US Department of Transportation, National Highway Traffic Safety Administration, Washington, DC.
Kahane, C.J. (1994). Preliminary evaluation of the effectiveness of antilock brake systems for passenger cars. Report DOT HS 808 206. US Department of Transportation, National Highway Traffic Safety Administration, Washington, DC.
Lie, A., Tingvall, C., Krafft, M. and Kullgren, A. (2004). The effectiveness of ESP (electronic stability programme) in reducing real life accidents. Traffic Injury Prevention, 5, 37–41.
Michon, J.A. (1985). A critical view of driver behavior models: What do we know, what should we do? In L. Evans and R.C. Schwing(Eds.). Human behaviour and traffic safety. Plenum Press, New York.
Näätänen, R. and Summala, H. (1974). A model for the role of motivational factors in drivers’ decision-making. Accident Analysis and Prevention, 6, 243–261.
Overskeid, G. (2000). The slave of the passions: Experiencing problems and selecting solutions. Review of General Psychology, 4, 284–309.
Reason, J. (1990). Human error. Cambridge University Press, Cambridge.
Robinson, B.J. and Duffin, A.R. (1993). The performance and reliability of anti-lock braking systems. Braking of road vehicles. Proceedings of the Institution of Mechanical Engineers? 23–24 March 1993. Institution of Mechanical Engineers (IMechE), Birdcage Walk, London. Published by Mechanical Engineers Publications Limited, pp. 115–126.
Rothengatter, T. (1988). Risk and the absence of pleasure: A motivational approach to modelling road user behaviour. Ergonomics, 31, 599–607.
Sagberg, F., Fosser, S. and Saetermo, I.A.F. (1997). An investigation of behavioural adaptation to airbags and antilock brakes among taxi drivers. Accident Analysis and Prevention, 29, 293–302.
Sagberg, F. (2001). Accident risk of car drivers during mobile telephone use. International Journal of Vehicle Design, 26(1), 57–69.
Taylor, D.H. (1964). Driver’s galvanic skin response and the risk of accidents. Ergonomics, 7, 439–451.
Tversky, A. and Kahneman, D. (1974). Judgement under uncertainty: Heuristics and biases. Science, 185, 1124–1131.
Ulleberg, P. (2002). Personality subtypes of young drivers. Relationship to risk-taking preferences, accident involvement and response to a traffic safety campaign. Transportation Research Part F, 4, 279–297.
Vaa, T. (2000). A comment on the definition of aggression and aggressive driving behaviour. Proceedings of the Conference ‘Road Safety on three Continents’ Pretoria. South Africa, September 2000, pp. 20–22.
Vaa, T. (2001a). Cognition and emotion in driver behaviour models: Some critical viewpoints. Proceedings of the 14th ICTCT Workshop. Caserta 2001 (www.ictct.org).
Vaa, T. (2001b). Driver behaviour models and monitoring of risk: Damasio and the role of emotions. Proceedings from VTI-Conference Traffic Safety on Three Continents. Moscow 19–21 September 2001.
Vaa, T. (2003a). Survival or deviance? A Model for Driver Behaviour. Final report. Oslo, Institute of Transport Economics. TØI-report no. 666/2003 (In Norwegian with summary in English).
Vaa, T. (2003b). Impairments, diseases, age and their relative risks of accident involvement: Results from metaanalysis. Deliverable R1.1 of EU-project IMMORTAL. Oslo, Institute of Transport Economics, TØI report no. 690/2003.
Várhelyi, A. (1996). Dynamic speed adaptation based on information technology: A theoretical background. Department of Traffic Planning and Engineering, Lund Institute of Technology, University of Lund, Bulletin 142.
Wilde, G.J.S. (1982). The theory of risk homeostasis: Implications for safety and health. Risk Analysis, 2, 209–225.
Wilde, G.J.S. (1988). Risk homeostasis theory and traffic accidents: Propositions, deductions and discussion of dissension in recent reactions. Ergonomics, 31(4), 441–468.
Zuckerman, M. (1994). Behavioural expressions and biosocial bases of sensation seeking. Cambridge University Press, Cambridge.
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Vaa, T. (2007). Modelling Driver Behaviour on Basis of Emotions and Feelings: Intelligent Transport Systems and Behavioural Adaptations. In: Cacciabue, P.C. (eds) Modelling Driver Behaviour in Automotive Environments. Springer, London. https://doi.org/10.1007/978-1-84628-618-6_12
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DOI: https://doi.org/10.1007/978-1-84628-618-6_12
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