Identyfikatory
Warianty tytułu
Języki publikacji
Abstrakty
The modern person in an era of information breakthrough faces the problem of choosing and processing information coming to her. Human activities in the systems "driver - vehicle - road - environment" - not an exception. The role and importance of information in all spheres of human activity have increased significantly. The paper aims to find and assess the patterns of information flow impact on the driver performance in the "driver - vehicle - road - environment" system. Electroencephalography (EEG) method using the Neurocom hardware and software complex used to determine the change in the electrical activity of the driver's brain during the processing of input information; electrocardiography method using the hardware and software complex «Cardiosens», used to determine the fatigue level of the driver during research; tabular method of double letter cancelation test, involved in determining the time of distraction from the performance of the driver's core activity in laboratory experiments. Using mathematical modelling methods and methods, mathematical models of EEG and ECG parameters influence on the time of distraction from execution by the driver of the main activity were obtained. Regression models of the influence of the aggregate of the quantitative characteristics of the intensity of fast (beta-rhythm – β and gamma-rhythm – γ ) and slow (delta- rhythm – δ and theta-rhythm –θ) EEG signals are proposed. The regression equations obtained for determining the regularities of the influence of information flow on the results of activity of road users are defined. Set up that the time of the driver's distraction from performing the core activity can reach from 0,94 s to 4,77 s depending on particular conditions. Information flows arising from the location of noticeable advertising in the driver's field of vision when driving a vehicle, distract his attention from 0,23 s to 2,81 s. The practical significance of obtained results is the possibility to use them in coordinating the location of advertising structures and organizing the work of drivers while driving a vehicle.
Czasopismo
Rocznik
Tom
Strony
7--23
Opis fizyczny
Bibliogr. 40 poz., fot., rys., tab., wykr.
Twórcy
autor
- O. M. Beketov National University of Urban Economy in Kharkiv, Kharkiv, Ukraine
autor
- O. M. Beketov National University of Urban Economy in Kharkiv, Kharkiv, Ukraine
Bibliografia
- [1] AMDITIS, A., PAGLE, K., JOSHI, S., & BEKIARIS, E. (2010). Driver–Vehicle–Environment monitoring for on-board driver support systems: Lessons learned from design and implementation. Applied ergonomics, 41(2), 225-235.
- [2] CACKOWSKI, J. M., & NASAR, J. L. (2003). The restorative effects of roadside vegetation: Implications for automobile driver anger and frustration. Environment and Behavior, 35(6), 736-751.
- [3] DE WAARD D. (1996) The measurement of drivers’ mental workload. // Ph.D. Thesis. University of Groningen, Traffic Research Centre. Haren. The Netherlands.
- [4] DESIMONE, R., & DUNCAN, J. (1995). Neural mechanisms of selective visual attention. Annual review of neuroscience, 18(1), 193-222.
- [5] DOLYA, V., AFANASIEVA, I., DAVIDICH, U., ENGLEZI, I., GYULYEV, N., & PRASOLENKO, O. (2014). Influence of Information Flows on the Results of a Driver’s Activity in the System «Driver–Car–Road–Environment». Advances in Human Aspects of Transportation: Part II, 8, 176.
- [6] DORRIAN, J., LAMOND, N., KOZUCHOW-SKI, K., & DAWSON, D. (2008). The driver vigilance telemetric control system (DVTCS): Investigating sensitivity to experimentally induced sleep loss and fatigue. Behavior research methods, 40(4), 1016-1025.
- [7] DILLER, L., BEN-YISHAY, Y., GERST-MAN, L. J., GOODIN, R., GORDON, W., & WEINBERG, J. (1974). Studies of scanning behavior in hemiplegia. Rehabilitation mono-graph No. 50: Studies in cognition and rehabilitation in hemiplegia.
- [8] EBOLI, L., GUIDO, G., MAZZULLA, G., & PUNGILLO, G. (2017). Experimental relation-ships between operating speeds of successive road design elements in two-lane rural high-ways. Transport, 32(2), 138-145.
- [9] EBOLI, L., GUIDO, G., MAZZULLA, G., PUNGILLO, G., & PUNGILLO, R. (2017). Investigating Car Users’ Driving Behaviour through Speed Analysis. PROMET-Traffic&Transportation, 29(2), 193-202.
- [10] EBBINGHAUS, H. (1983). Urmanuskript" Ueber das Gedächtniss" 1880. Passavia Univ.-Verlag.
- [11] EDQUIST, J., HORBERRY, T., HOSKING, S., & JOHNSTON, I. (2011). Effects of advertising billboards during simulated driving. Applied ergonomics, 42(4), 619-626.
- [12] GACA, S., & POGODZIŃSKA, S. Speed management as a measure to improve road safety on polish regional roads. Archives of Transport, 36 (4), 29-42
- [13] GALANT, M., & MERKISZ, J. (2017). Analysis of the possibilities of using EEG in assessing pilots’ psychophysical condition. Zeszyty Naukowe. Transport/Politechnika Śląska, 95, 39-46.
- [14] GAVRILOV, E.V. (1976). Ergonomics in road transport. К .: Technique.
- [15] GAVRILOV, E.V. (1990). Theoretical bases of designing and the organization of conditions of traffic taking into account laws of behavior of drivers: dis .... doctor of technical sciences. sciences. The wrapping of the disk for the hedonic edge.
- [16] GAVRILOV, E.V., LINNIK, I..E, & BANATOV, A.V. (2002). Assessment of traffic safety in urban conditions. The Bulletin of the Khabarovsk State Technical University, (17), 57-62.
- [17] GRIGOROVA, T.M, DAVYDICH, YU. O. (2015). Development of the model of the change in the passenger transport fatigue when approaching stopping points of suburban bus routes. Eastern-European Journal of Enterprise Technologies, 2 (3 (74)), 4-9.
- [18] HOCKEY, G. R. J. (2003). Operator functional state: the assessment and prediction of human performance degradation in complex tasks (Vol. 355). IOS Press.
- [19] JASPER, H.H. (1958) The ten-twenty electrode system of the International Federation, Electroenceph. clin. Neurophysiol., 10: 371-375.
- [20] JEONG, M., TASHIRO, M., SINGH, L. N., YAMAGUCHI, K., HORIKAWA, E., MIYAKE, M. & ITOH, M. (2006). Functional brain mapping of actual car-driving using [18 F] FDG-PET. Annals of nuclear medicine, 20(9), 623-628.
- [21] JUST, M. A., KELLER, T. A., & CYNKAR, J. (2008). A decrease in brain activation associated with driving when listening to someone speak. Brain research, 1205, 70-80.
- [22] LIN, Y., TANG, P., ZHANG, W. J., & YU, Q. (2005). Artificial neural network modelling of driver handling behaviour in a driver-vehicle-environment system. International Journal of Vehicle Design, 37(1), 24-45.
- [23] NEWELL, A., & SIMON, H. A. (1972). Human problem solving (Vol. 104, No. 9). Englewood Cliffs, NJ: Prentice-Hall.
- [24] PAUZIÉ A., PACHIAUDI G. (1997) Subjective evaluation of the mental workload in the driving context // Traffic & Transport Psychology : Theory and Application, eds. T. Rothengatter & E. Carbonell Vaya. Pergamon, 173-182
- [25] PETSYUKH, S. V., PETSYUKH, M. S., KOVBASNYUK, M. M., BARYLYAK, L. G., & ZUKOW, W. (2016). Relationships between Popovych’s Adaptation Index and parameters of ongoiging HRV and EEG in patients with chronic pyelonephrite and cholecystite in remission. Journal of Education, Health and Sport, 6(2), 99-110.
- [26] PIECHULLA W., MAYSER C., GEHRKE H., & KONIG W. (2003) Reducing drivers’ mental workload by means of an adaptive man–machine interface.// Transportation Research, Part F., vol. 6(4), 233–248.
- [27] POSNER, M. I., & PETERSEN, S. E. (1990). The attention system of the human brain. Annual review of neuroscience, 13(1), 25-42.
- [28] PRASOLENKO O., GALKIN A., BURKO D. (2017) Galvanic Skin Response as a Estimation Method of the Driver's Emotional State. American Journal of Science, Engineering and Technology Vol. 2 (1), 50-56
- [29] PRASOLENKO, О., LOBASHOV, O., & GALKIN, A. (2015). The Human Factor in Road Traffic City. International Journal of Automation, Control and Intelligent Systems, 1(3), 77-84.
- [30] RICHTER, B. (1976). Ein dynamischer Fahrsimulator zur Untersuchung des Systems Fahrer-Fahrzeug-Straße. Z VERKEHRSSICHERH, 22(1).
- [31] SERGIYIVNA, P. O., GRIGORIVNA, M. A., ADAMIVNA, K. O., & SERGIYIVNA, V. S. (2012). Cortical Arousal Strategies in Left-Handers during the Aural Perception and Manual Playback of Mono-and Polyphonic Rhythmical Patterns. Journal of Life Sciences, 6(12).
- [32] TAYLOR, M.A. (1999). The fundamentals of clinical neuropsychiatry. New York: Oxford University Press. pp. 357–358. ISBN 0-19-513037-5.
- [33] THIFFAULT, P., & BERGERON, J. (2003). Monotony of road environment and driver fatigue: a simulator study. Accident Analysis & Prevention, 35(3), 381-391.
- [34] Urie, Y., Velaga, N. R., & Maji, A. (2016). Cross-sectional study of road accidents and related law enforcement efficiency for 10 countries: A gap coherence analysis. Traffic injury prevention, 17(7), 686-691.
- [35] UCHIYAMA, Y., EBE, K., KOZATO, A., OKADA, T., & SADATO, N. (2003). The neural substrates of driving at a safe distance: a functional MRI study. Neuroscience Letters, 352(3), 199-202.
- [36] Universal Psychodiagnostic Complex UPDK-MK. / http://www.neurocom.ru.
- [37] WILSON, G. F., & RUSSELL, C. A. (2003). Operator functional state classification using multiple psychophysiological features in an air traffic control task. Human Factors, 45(3), 381-389.
- [38] ZHUK, M., KOVALYSHYN, V., & TCIR, R. (2015). Defining Duration of Driver Reaction Time Components Using the NeuroCom Complex. ECONTECHMOD: an international quarterly journal on economics of technology and modelling processes, 4.
- [39] ZHUK, M., KOVALУSHУN, V., ROYKO, Y., & BARVINSKA, K. (2017). Research on drivers’ reaction time in different conditions. Eastern-European Journal of Enterprise Technologies, 2 (3), 24-31.
- [40] ŻUKOWSKA, J. (2015). Regional implementation of a road safety observatory in Poland. Archives of Transport, 36 (3), 77-85.
Uwagi
PL
Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2018).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-4889c4b2-6041-450d-a802-ec4878e3019f