Abstract
This paper brings the extension of recent model of relevant driving skills for autonomous driving (Havlíčková et al. 2019). The aim is to describe currently developed measurement procedures for driving skills evaluation in the context of autonomous driving. Firstly there are described the main principles for driving skills assessment in the context of autonomous driving. These principles represent the general and culturally independent level. These principles are followed by the concrete description of the assessment of driving skills decrease in the context of autonomous driving. This concrete description of the assessment represents the specific level of concrete application which can be adapted only for a similar cultural context. For the assessment were developed new methods (e.g. traffic situational overview assessment), were modified existing methods for driver skills evaluation (e.g. modification of standardized driving observation test) and also were used further complementary methods (e.g. driving behavior questionnaire). This way was made a two-level complex of traffic behavior assessment focused on driving skills in the context of autonomous driving.
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This article was created with the state support of the Czech Republic’s Technology Agency under the ÉTA program called Reduced Capacity to Drive (TL02000191) on research infrastructure acquired from the Operational Program Research and Development for Innovation (CZ.1.05/2.1.00/03.0064).
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Havlíčková, D., Zámečník, P., Šimeček, M., Klečková, S. (2021). The Two-Level Complex of Traffic Behavior Assessment Focused on Driving Skills in the Context of Autonomous Driving. In: Cassenti, D., Scataglini, S., Rajulu, S., Wright, J. (eds) Advances in Simulation and Digital Human Modeling. AHFE 2020. Advances in Intelligent Systems and Computing, vol 1206. Springer, Cham. https://doi.org/10.1007/978-3-030-51064-0_17
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