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.
CITATION STYLE
von Lienen, C., Effert, J. S., Schwarzenberger, F., Hannawald, L., & Prokop, G. (2020). How Personal Identity Influences the Driving Behavior-Correlation Analysis with Naturalistic Driving Data. In Advances in Intelligent Systems and Computing (Vol. 1212 AISC, pp. 16–23). Springer. https://doi.org/10.1007/978-3-030-50943-9_3
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