Detail publikace

Driver Response Time and Behavior Profiles, Extracted from Sugeno Fuzzy Models by the Louvain Network Clustering

RADVANSKÝ JR., M. RADVANSKÝ, M. KUDELKA, M. JIRGL, M.

Originální název

Driver Response Time and Behavior Profiles, Extracted from Sugeno Fuzzy Models by the Louvain Network Clustering

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

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.

Autoři

RADVANSKÝ JR., M.; RADVANSKÝ, M.; KUDELKA, M.; JIRGL, M.;

Vydáno

9. 9. 2022

Nakladatel

Springer Science and Business Media Deutschland GmbH

Místo

Sanda-Shi

ISBN

978-303114626-8

Kniha

Advances in Intelligent Networking and Collaborative Systems

ISSN

2367-3370

Periodikum

Lecture Notes in Networks and Systems

Ročník

527

Stát

Polská republika

Strany od

403

Strany do

412

Strany počet

10

URL

https://link.springer.com/chapter/10.1007/978-3-031-14627-5_41#Ack1

BibTex

@inproceedings{BUT179250,
  author="Miroslav {Jirgl} and Martin {Radvanský} and Martin {Radvanský} and Miloš {Kudělka}",
  title="Driver Response Time and Behavior Profiles, Extracted from Sugeno Fuzzy Models by the Louvain Network Clustering",
  booktitle="Advances in Intelligent Networking and Collaborative Systems",
  year="2022",
  journal="Lecture Notes in Networks and Systems",
  volume="527",
  pages="403--412",
  publisher="Springer Science and Business Media Deutschland GmbH",
  address="Sanda-Shi",
  doi="10.1007/978-3-031-14627-5\{_}41",
  isbn="978-303114626-8",
  issn="2367-3370",
  url="https://link.springer.com/chapter/10.1007/978-3-031-14627-5_41#Ack1"
}