Driver's behavior modeling using the hidden Markov model formalism.

Author(s)
Dapzol, N.
Year
Abstract

In this paper, we propose to model the evolution of data sensors during the driving situation encountered by a driver, using the hidden Markov Model formalism. We then use this modeling to identify in real time the current driver's aim. We tested the capacity of this modeling in a first experiment where we were able to categorize with an 80% success rate the driver's actions from their initial preparatory movements. Moreover, this formalism could give us information on the driver's behavior in certain situations. First we will describe the value of using this type of modeling in the field of transport. Then we will present the methodology we used to collect and analyse data on the driver's behavior. In the last section, we will present and discuss our results. (Author/publisher)

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Publication

Library number
20051141 b ST (In: ST 20051141 CD-ROM)
Source

In: Young Researchers Seminar 2005, arranged by European Conference of Transport Research Institutes ECTRI, Forum of European National Highway Research Laboratories FEHRL and Forum of European Road Safety Research Institutes (FERSI), The Hague, The Netherlands, 11-13 May 2005, 14 p., 12 ref.

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This publication is one of our other publications, and part of our extensive collection of road safety literature, that also includes the SWOV publications.