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Drift and diffusion based models of driver behavior

  • Interdisciplinary Physics
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Abstract

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.

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Authors and Affiliations

  1. Department of Physcis, Institute of Physics, Carl-von-Ossietzky University, 26111, Oldenburg, Germany

    M. Langner & J. Peinke

  2. Institut für Verkehrsführung und Fahrzeugsteuerung, DLR Braunschweig, Lilienthalplatz 7, 38108, Braunschweig, Germany

    F. Flemisch & M. Baumann

  3. OFFIS, R&D division Safety Critical Embedded Systems, Escherweg 2, 26121, Oldenburg, Germany

    D. Beckmann

Authors
  1. M. Langner
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  2. J. Peinke
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  3. F. Flemisch
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  4. M. Baumann
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  5. D. Beckmann
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Corresponding authors

Correspondence to M. Langner or J. Peinke.

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Langner, M., Peinke, J., Flemisch, F. et al. Drift and diffusion based models of driver behavior. Eur. Phys. J. B 76, 99–107 (2010). https://doi.org/10.1140/epjb/e2010-00148-8

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  • DOI: https://doi.org/10.1140/epjb/e2010-00148-8

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