The Two-Level Complex of Traffic Behavior Assessment Focused on Driving Skills in the Context of Autonomous Driving
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989592%3A15210%2F20%3A73601092" target="_blank" >RIV/61989592:15210/20:73601092 - isvavai.cz</a>
Result on the web
<a href="https://obd.upol.cz/id_publ/333180978" target="_blank" >https://obd.upol.cz/id_publ/333180978</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>
Alternative languages
Result language
angličtina
Original language name
The Two-Level Complex of Traffic Behavior Assessment Focused on Driving Skills in the Context of Autonomous Driving
Original language description
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.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
50101 - Psychology (including human - machine relations)
Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2020
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Advances in Intelligent Systems and Computing
ISBN
978-3-030-51064-0
ISSN
2194-5357
e-ISSN
2194-5365
Number of pages
12
Pages from-to
124-135
Publisher name
Springer nature
Place of publication
San Diego
Event location
San Diego
Event date
Jul 16, 2020
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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