Identification of driver operations with extraction of driving primitives

Masayuki Okamoto, Shunsuke Otani, Yasumasa Kaitani, Kenko Uchida

    Research output: Chapter in Book/Report/Conference proceedingConference contribution

    11 Citations (Scopus)

    Abstract

    Modeling the driver behavior is expected to play a fundamental role in designing systems of driver monitoring, warning, assist control and training. In this paper, we present an identification method of automobile driver operations based on a hierarchical clustering approach, which leads to a stochastic piecewise affine (PWA) model. The driver behavior can be viewed as an outcome of the hybrid system that consists of (continuous) primitive driving operations and their (discrete) switchings. We describe the driving primitives by PWA models and the switchings by hidden Markov models (HMMs). One significant issue of this hybrid modeling is to extract the distinct states of driving operation from the driver behavior and determine the number of the states. To this problem, we propose a method to estimate the number of states using an idea of hierarchical clustering. We apply our identification method to the accelerator operations of driver, and demonstrate its efficacy through numerical experiments using the real data of four drivers.

    Original languageEnglish
    Title of host publicationProceedings of the IEEE International Conference on Control Applications
    Pages338-344
    Number of pages7
    DOIs
    Publication statusPublished - 2011
    Event2011 20th IEEE International Conference on Control Applications, CCA 2011 - Denver, CO
    Duration: 2011 Sep 282011 Sep 30

    Other

    Other2011 20th IEEE International Conference on Control Applications, CCA 2011
    CityDenver, CO
    Period11/9/2811/9/30

    ASJC Scopus subject areas

    • Control and Systems Engineering
    • Computer Science Applications
    • Mathematics(all)

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  • Cite this

    Okamoto, M., Otani, S., Kaitani, Y., & Uchida, K. (2011). Identification of driver operations with extraction of driving primitives. In Proceedings of the IEEE International Conference on Control Applications (pp. 338-344). [6044425] https://doi.org/10.1109/CCA.2011.6044425