Identyfikatory
Warianty tytułu
Języki publikacji
Abstrakty
The research defines components of driver reaction time under different conditions. The duration of a latent period and time of respective response to a stimulus are determined. It is traced how driver reaction time depends on the complexity of the situation the driver was exposed to. With the help of the NeuroCom complex, computer program and processing of video recordings, the main components of driver reaction time were defined to be information in-flow to the cerebral cortex, detection and recognition of a stimulus, making a right decision and respective reaction. The obtained results can be used for determining dynamic gauge and braking distance of a vehicle, which, in its turn, influences the road safety.
Słowa kluczowe
Czasopismo
Rocznik
Tom
Strony
39--44
Opis fizyczny
Bibliogr. 20 poz., rys., wykr.
Twórcy
autor
- Lviv Polytechnic National Universit
autor
- Lviv Polytechnic National Universit
autor
- Lviv Polytechnic National Universit
Bibliografia
- 1. Romanov A. N. 2002. Motor Transport Psychology: a study guide for students of higher learning institutions. Moscow: Academy, 224. (In Russian)
- 2. Grygorov M.A. and Usatov V.V., 2007. The Influence of Information and Physical Loading on the State of Physiological Systems of a Driver. Works of Odessa Polytechnic University. Nr 2(28), 53-54. (In Ukrainian).
- 3. Rotenberg R.V., 1986. Basics of Reliability of the System “Driver – Vehicle – Road – Surroundings”. Moscow : Mashynostroenie. 216. (In Russian)
- 4. Zhuk M.M. and Kovalyshyn V.V. 2012. Methodology of Studying the Influence of Driver’s Psychophysiological Characteristics on His/Her Reaction Time In Real Situations Municipal Engineering. Nr 103. (In Ukrainian).
- 5. Ignatov N. A., Ilarionov V. A., Koshelev M. V. and Mishurin V. M., 1977. Training on Car Simulators. Moscow : DOSAAF. 96. (In Russian)
- 6. Lobanov E. M. 1980. Designing of Roads and Organization of Traffic Taking into Account Driver’s Psychophysiology. Moscow : Transport. 311. (In Russian)
- 7. Dolia V. K. Passenger Transportation. Kharkiv : Fort. 504. (In Ukrainian)
- 8. Hick W. E. 1952. On the rate of gain of information. Journal of Experimental Psychology. Nr 1, 11–26. (In English)
- 9. Boiko E. I., 1961. The Human Reaction Time. Moscow : Medicine. 110. (In Russian)
- 10. Pistun I. P., Khomyak Y. V. and Khomyak V. V., 2005. Labour Safety on Motor Transport. Sumy : University book . 374. (In Ukrainian)
- 11. Lobanov E. M. 1975. Driver Reaction Time. Works of the Moscow State Automobile and Road Technical University. Nr 95, 81-110. (In Russian)
- 12. Volobuyeva T.V. 2009. Experimental Verification of Study Model of a Driver in Stressful Traffic Situations. News of Automobile and Road Institute Automobile and road Institute Bulletin. Nr. 2 (9), 199–205. (In Russian).
- 13. Krincik E. I. and Mednikov I. F. 1970. On Mechanisms of Influence of Signal Probability on the Human Reaction Time. Matters of Psychology. Nr 6, 31– 46. (In Russian)
- 14. Electroencephalography Computer System NeuroCom: operation manual. 2008. Kharkiv: Kharkiv National Aerospace University. Kharkiv. 171. (In Russian)
- 15. Klinkowstein G. S. and Konoplyanka V. S. 1977. Traffic Management. Moscow. 56. (In Russian)
- 16. Kovalyshyn V.V. 2013. Speed Rates of Car Movement in the Mountains Taking into Account Psychophysiological Characteristics of a Driver: theses for a Candidate of Sciences: 05.22.01. Lviv 167 с. (In Ukrainian).
- 17. Krebelsberg D. 1989. Transport Psychology: translation from German. Moscow. 367. (In Russian)
- 18. Streh Carl M. 1971. Vigilance: the problem of sustained attention. Oxford e. a. Pergamen Press. Nr 106, 111.
- 19. Kovalyshyn O. and Gabriel Yu. 2014. Development of a management systems model of automatic control by using fuzzy logic, EconTechMod: an international quarterly journal on economics in technology, new technologies and modelling processes. – Lublin ; Rzeszow, 2014. – Vol 3, No 4. 87-91
- 20. Fedasyuk D., Yakovyna V., Serdyuk P. and Nytrebych O. 2014. Variables state-based software usage model, Econtechmod: an international quarterly journal on economics in technology, new technologies and modelling processes. – Lublin ; Rzeszow, 2014. – Vol. 3, no. 2. 15-20
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-17615edc-78ec-4ebd-a424-e9f8ef0d64e5