Assessing the information flows and established their effects on the results of driver’s activity

Afanasieva, Ivetta; Galkin, Andrii

doi:10.5604/01.3001.0012.0938

Cited by 19 publications

(2 citation statements)

References 25 publications

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“…Such qualities of a driver as reaction time, work experience, temperament were considered by the authors of works [2,19] in their studies. The growth of emotional tension leads to a temporary breakdown of some mental functions of the driver, increasing the time of his reaction [17][18][19]. However, in these works the issues of the influence of the initial state of drivers on the change in their final functional state during their stay in traffic jams and the influence of the driver's age on the dynamics of changes in his state in a traffic jam are not fully considered.…”

Section: Literature Reviewmentioning

confidence: 99%

Modeling the effect of traffic jam on driver’s level of fatigue

et al. 2019

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This study focuses on establishing the dynamics of changes in the level of fatigue of an average driver in a traffic jam, which affects road safety. Linear and nonlinear models of the effect of traffic jam on the level of fatigue of an average driver have been developed, which allow assessing their condition depending on the driver’s age and the duration of the jam. Using a nonlinear regression model, the graphs of changes in the level of fatigue of an average driver of 25 and 65 years are plotted. The analysis of these graphs allowed us to establish the patterns of influence of road parameters on the functional state of the driver. The level of fatigue of the driver, which is determined by the change in his functional state, increases during his stay in the traffic jam. Therefore, the duration of the jam and the initial level of fatigue when entering the jam influence most the final level of fatigue of the driver. The driver’s age affects the level of fatigue to a lesser extent, but still significantly.

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Section: Literature Reviewmentioning

confidence: 99%

Modeling the effect of traffic jam on driver’s level of fatigue

et al. 2019

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“…In their view, the properties of the nervous system form the physiological basis of temperament, which is a mental manifestation of the general type of nervous system. As researchers have proven, the strength and stability of the nervous system determine the behavior and actions of the driver [12][13][14][15][16][17]. Therefore, the choice of the route of movement depends on the type of nervous system and his temperament.…”

Section: Introductionmentioning

confidence: 99%

Information Support of Simulation of Vehicle Flow Distribution in Urban Projects of Sustainable Development

Чумаченко

Davidich

Galkin

2021

Intelligent Information Systems for Decision Support in Project and Program Management

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Modeling vehicle flows is impossible without the introduction of IT. The study is aimed at developing models for the choice of routes, considering the individual characteristics of drivers, which are determined by the type of nervous system. On the basis of the analysis, the factors influencing the choice of the route by the drivers were identified. To fix the values of the obtained factors, a survey was carried out using a specially developed questionnaire. The type of the driver's nervous system was determined using a typological questionnaire. On the basis of the data obtained during the survey of drivers of vehicles, models were developed for changing the proportion of correspondence carried out along alternative routes of movement when driving drivers with different types of nervous systems. Based on the results obtained, it is possible to model the transport network, rationalize the development and planning of traffic flows, which are possible through the introduction of information technologies.

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