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Modelling the Dynamics of Driver Situation Awareness in Automated Driving

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Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 597))

Abstract

This study presents a numerical model that describes the dynamic process of building situation awareness after an automation-initiated transition. The model predicts the level of situation awareness as a function of elapsed time since the transition, and is verified using data from an experiment in which participants watched animated video clips of automated driving scenarios. Additionally, the ‘number of fixations per second’ is suggested for real-time monitoring of situation awareness in automated driving.

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Acknowledgments

The authors are involved in the Marie Curie Initial Training Network (ITN) HFAuto – Human Factors of Automated Driving (PITN-GA-2013-605817).

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Correspondence to Zhenji Lu .

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Lu, Z., Happee, R., de Winter, J. (2018). Modelling the Dynamics of Driver Situation Awareness in Automated Driving. In: Stanton, N. (eds) Advances in Human Aspects of Transportation. AHFE 2017. Advances in Intelligent Systems and Computing, vol 597. Springer, Cham. https://doi.org/10.1007/978-3-319-60441-1_62

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  • DOI: https://doi.org/10.1007/978-3-319-60441-1_62

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-60440-4

  • Online ISBN: 978-3-319-60441-1

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