Abstract
The present paper discusses issues of perception, distraction, unconscious and conscious routes of information processing and decision-making. Three major topics are addressed: Relative risks, risk monitoring, and Intelligent Transport Systems (ITS). A consideration of relative risks is proposed as a fruitful angle to draw up problem statements about accident causation as relative risks allow you to compare risk levels of different road conditions, road user activities, and driver states. A list of 21 relative risks is provided and for each of them an indication of whether there exist an ITS that might mitigate the problem is stated. The relevance of new paradigms provided by evolution and neuroscience is suggested. A model of driver behavior, the Risk Monitor Model (RMM) is elaborated and described. Finally, predictions of the RMM about the outcome of ITS, are stated as seven specific hypotheses.
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Vaa, T. (2011). Drivers’ Information Processing, Decision-Making and the Role of Emotions: Predictions of the Risk Monitor Model. In: Cacciabue, P., Hjälmdahl, M., Luedtke, A., Riccioli, C. (eds) Human Modelling in Assisted Transportation. Springer, Milano. https://doi.org/10.1007/978-88-470-1821-1_4
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DOI: https://doi.org/10.1007/978-88-470-1821-1_4
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