Abstract
In order to guarantee user acceptance and functional safety of automated driving functions, a large number of real driving maneuvers are needed to represent real possible traffic scenarios. Evidence has indicated that people had different driving characteristics based on their demographic and socio-economic characteristics as well as their sensation-seeking score or their assessment of driving costs and benefits. A detailed analysis of driver personality operated in a naturalistic driving study investigates the significant influence of driver characteristics on driving behavior using statistical analysis methods to identify different driver types.
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von Lienen, C., Effert, JS., Schwarzenberger, F., Hannawald, L., Prokop, G. (2020). How Personal Identity Influences the Driving Behavior-Correlation Analysis with Naturalistic Driving Data. In: Stanton, N. (eds) Advances in Human Aspects of Transportation. AHFE 2020. Advances in Intelligent Systems and Computing, vol 1212. Springer, Cham. https://doi.org/10.1007/978-3-030-50943-9_3
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DOI: https://doi.org/10.1007/978-3-030-50943-9_3
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