Abstract
Accident statistics have an important general safety monitoring function and form a basis for detecting specific traffic safety problems. However, the resulting information is inadequate for analysing and diagnosing, defining remedial measures and evaluating their effects. Systematic observations of driver behaviour, combined with knowledge of human information-processing capabilities and limitations, offer wider perspectives in understanding the causes of safety problems and modelling driver behaviour in both normal and critical situations. Renewed interest results from the need to develop, test, assess and evaluate driver support systems in terms of drivers’ behaviour, performance and acceptance.
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van der Horst, R. (2007). Time-Related Measures for Modelling Risk in Driver Behaviour. In: Cacciabue, P.C. (eds) Modelling Driver Behaviour in Automotive Environments. Springer, London. https://doi.org/10.1007/978-1-84628-618-6_13
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DOI: https://doi.org/10.1007/978-1-84628-618-6_13
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