Publication detail

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.

Original Title

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

Type

conference paper

Language

English

Original Abstract

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.

Authors

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

Released

9. 9. 2022

Publisher

Springer Science and Business Media Deutschland GmbH

Location

Sanda-Shi

ISBN

978-303114626-8

Book

Advances in Intelligent Networking and Collaborative Systems

ISBN

2367-3370

Periodical

Lecture Notes in Networks and Systems

Year of study

527

State

Republic of Poland

Pages from

403

Pages to

412

Pages count

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"
}