The Two-Level Complex of Traffic Behavior Assessment Focused on Driving Skills in the Context of Autonomous Driving

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F44994575%3A_____%2F20%3AN0000084" target="_blank" >RIV/44994575:_____/20:N0000084 - isvavai.cz</a>

Výsledek na webu

<a href="https://link.springer.com/chapter/10.1007/978-3-030-51064-0_17" target="_blank" >https://link.springer.com/chapter/10.1007/978-3-030-51064-0_17</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/978-3-030-51064-0_17" target="_blank" >10.1007/978-3-030-51064-0_17</a>

Jazyk výsledku

angličtina

Název v původním jazyce

The Two-Level Complex of Traffic Behavior Assessment Focused on Driving Skills in the Context of Autonomous Driving

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

The Two-Level Complex of Traffic Behavior Assessment Focused on Driving Skills in the Context of Autonomous Driving

Popis výsledku anglicky

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.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

50101 - Psychology (including human - machine relations)

Projekt

<a href="/cs/project/TL02000191" target="_blank" >TL02000191: Pokles schopnosti řídit</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2020

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Advances in Simulation and Digital Human Modeling

ISBN

978-303051063-3

ISSN

2194-5357

e-ISSN

—

Počet stran výsledku

12

Strana od-do

124-135

Název nakladatele

Springer

Místo vydání

USA

Místo konání akce

online

Datum konání akce

16. 7. 2020

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

—