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.
Assessing the information flows and established their effects on the results of driver’s activity
2018
Aufsatz (Zeitschrift)
Elektronische Ressource
Unbekannt
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