https://doi.org/10.1140/epjb/e2010-00148-8
Drift and diffusion based models of driver behavior
1
Institute of Physics, Carl-von-Ossietzky University, Department of Physics, 26111 Oldenburg, Germany
2
Institut für Verkehrsführung und Fahrzeugsteuerung, DLR Braunschweig, Lilienthalplatz 7, 38108 Braunschweig, Germany
3
OFFIS, R&D division Safety Critical Embedded Systems, Escherweg 2, 26121 Oldenburg, Germany
Corresponding authors: a michael.langner@mail.uni-oldenburg.de - b peinke@uni-oldenburg.de
Received:
10
September
2009
Revised:
1
March
2010
Published online:
4
June
2010
Based on experimental data taken from a driving simulator, we present different ways of how a stochastic model of the driver's behavior can be estimated directly from the data. The aim is to generate a drift and diffusion based stochastic model, which is equivalent to a potential based model. Depending on the data, different strategies are presented. Even in the case of non-equidistant or transient data, the method will be used to estimate appropriate models in one or higher dimensions.
© EDP Sciences, Società Italiana di Fisica, Springer-Verlag, 2010
