Abstract
Driver behaviour is a crucial factor not only with respect to traffic safety but also when considering traffic management systems. Modern Intelligent Transport Systems (ITS), such as Variable Speed Limit (VSL) system, enable real time dynamic traffic management using actual traffic data. However, in order to achieve an effective system, it is crucial to provide its speed limitation decision algorithm that is based on actual driver behaviour and not on theoretical expectations. Proper understanding of the driver decision making process and driving psychology is a key to effective and resultful traffic management systems of the future. In this paper authors describe their study aiming to create a driver behaviour model with respect to VSL system based on data from driving simulator experiment. The resulting model is to be further applied to data of Czech drivers’ population in order to create background for future microsimulations of traffic and wide range of objectives connected to calibration, analysis and deployment of future VSL systems in country.
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Acknowledgement
This research is conducted with support of a grant no. SGS16/186/OHK2/2T/16 from a Student Grant Competition (SGS) at the Czech Technical University in Prague.
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Matowicki, M., Pribyl, O. (2018). Understanding of Drivers Speed Decisions to Improve Traffic Management on Highways of the Future. In: Kováčiková, T., Buzna, Ľ., Pourhashem, G., Lugano, G., Cornet, Y., Lugano, N. (eds) Intelligent Transport Systems – From Research and Development to the Market Uptake. INTSYS 2017. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 222. Springer, Cham. https://doi.org/10.1007/978-3-319-93710-6_28
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