Driver Response Time and Behavior Profiles, Extracted from Sugeno Fuzzy Models by the Louvain Network Clustering
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27240%2F22%3A10254682" target="_blank" >RIV/61989100:27240/22:10254682 - isvavai.cz</a>
Result on the web
<a href="https://link.springer.com/chapter/10.1007/978-3-031-14627-5_41" target="_blank" >https://link.springer.com/chapter/10.1007/978-3-031-14627-5_41</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-031-14627-5_41" target="_blank" >10.1007/978-3-031-14627-5_41</a>
Alternative languages
Result language
angličtina
Original language name
Driver Response Time and Behavior Profiles, Extracted from Sugeno Fuzzy Models by the Louvain Network Clustering
Original language description
One of the essential parameters of car driving is the constant monitoring of the surrounding traffic. The driver's attention is affected by the number of external distractions and, of course, by the driver's health and fatigue. In modern vehicles, driver attention assistants are often installed to provide early warning of loss of attention or micro-sleep. In this paper, we focus on analyzing the driver's behavior in a simulated environment and his/her reaction during a sudden change of direction due to an external event. A model of each driver's behavior is based on a Sugeno-type fuzzy system created from each driver's measured data. Then, for a group of 38 drivers, clustering their fuzzy models is performed to find drivers with similar behavior, reaction time, and vehicle stabilization time in the lane. (C) 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.
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
10200 - Computer and information sciences
Result continuities
Project
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Continuities
S - Specificky vyzkum na vysokych skolach
Others
Publication year
2022
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Lecture Notes in Networks and Systems. Volume 527
ISBN
978-3-031-14626-8
ISSN
2367-3370
e-ISSN
2367-3389
Number of pages
10
Pages from-to
403-412
Publisher name
Springer
Place of publication
Cham
Event location
Sanda
Event date
Sep 7, 2022
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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