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Driver's biocybernetic monitoring and early warning system

  • Transport Systems Institute
  • APM Konior Piwowarczyk Konior

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The paper describes a method and a device for a current permanent observation of driver's response in the road traffic was described. The task of presented system is not only the "on-line" analysis of the human behavior but primarily the determination of the physiological changes and their fuzzy classification in order to determine the states considered sub-critical. The article is based on authors research and results of experiments, related to the international scientific state of art, in terms of excessive fatigue and aggression as essential biocybernetic factors increasing the road accident risk. A variant of the warning system for notification of driver's psychophysical condition changes was presented. The system is based on a revised analysis of the human metabolism under a monotonous long-term load. The results of simulations and real measurements are prerequisites for the development of the presented system structure.

Original languageEnglish
Title of host publicationTelematics in the Transport Environment - 12th International Conference on Transport Systems Telematics, TST 2012, Selected Papers
Pages52-59
Number of pages8
DOIs
Publication statusPublished - 2012
Event12th International Conference on Transport Systems Telematics, TST 2012 - Katowice-Ustron, Poland
Duration: 10 Oct 201213 Oct 2012

Publication series

NameCommunications in Computer and Information Science
Volume329 CCIS
ISSN (Print)1865-0929

Conference

Conference12th International Conference on Transport Systems Telematics, TST 2012
Country/TerritoryPoland
CityKatowice-Ustron
Period10/10/1213/10/12

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • driver's biocybernetic system
  • early warning system

ASJC Scopus subject areas

  • General Computer Science
  • General Mathematics

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