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

Gyulyev, Nizami; Lobashov, Oleksii; Прасоленко, О.В.; Bugayov, Igor

doi:10.1051/shsconf/20196704005

Cited by 3 publications

(5 citation statements)

References 11 publications

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“…The main results of this study are the developed mathematical models for the assessment of the reliability of the average driver on sections of a transport network (15) and at transport nodal points (16). The resulting model (17), which reflects changes in the driver's state due to being in a traffic jam, makes it possible to assess the probability of an accident on elements of a transport system after a traffic jam.…”

Section: Discussion Of Results Of Studying the Model For Assessing Drmentioning

confidence: 99%

“…Study [16] determined the dynamics of changes in the level of fatigue, which affects road safety, for the average driver in a traffic jam. The authors of the study developed linear and nonlinear models of the impact of traffic jams on the level of fatigue for a driver.…”

Section: Literature Review and Problem Statementmentioning

confidence: 99%

“…F 2 , the average indicator of the level of fatigue of the entire set of drivers during leaving a traffic jam developed in [16] takes the following form:…”

Section: Assessment Of the Probability Of An Accident With An Indimentioning

confidence: 99%

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Development of models for assessing a driver's failurefree operation in a transportation system under conditions of traffic congestion

Gyulyev

Voronko

Ostashevskiy³

et al. 2020

EEJET

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Section: Discussion Of Results Of Studying the Model For Assessing Drmentioning

confidence: 99%

Section: Literature Review and Problem Statementmentioning

confidence: 99%

See 1 more Smart Citation

Development of models for assessing a driver's failurefree operation in a transportation system under conditions of traffic congestion

Gyulyev

Voronko

Ostashevskiy³

et al. 2020

EEJET

Self Cite

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“…Дослідження авторів [24] присвячено встановленню динаміки змінювання рівня втоми середньо-статистичного водія в заторі, що впливає на безпеку дорожнього руху.…”

Section: аналіз останніх досліджень і публікаційunclassified

Regularities of Changing the Functional State of the Driver in the Transport System in Case of Traffic Congestion

Gyulyev

Lobashov

Dulfan

et al. 2021

MEC

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The object of this study is the process of driver’s labor activity on road sections in the city's transport system in the process of transporting goods and passengers. The influence of traffic congestion on the level of the functional state of a choleric driver and a phlegmatic driver, which are opposite types of temperament, is considered. The hypothesis of the study is that the level of driver fatigue, determined by a change in his functional state in a traffic jam, affects the driver's reaction time and road safety and depends on the driver's condition and the parameters of the traffic jam. The degree of fatigue, which is determined by a change in the functional state of the driver, is determined based on the concept of the cardiovascular system as an indicator of the adaptive activity of the driver's body by measuring the electrocardiogram. To assess the level of driver fatigue, the irregularities of the electrocardiogram cardio intervals are analyzed, which are a universal response to any type of load: physical or mental. The level of fatigue is assessed in arbitrary units using a special algorithm that takes into account statistical indicators, histogram indicators and data from the spectral analysis of cardio intervals. Regularities of changes in the level of fatigue of a choleric driver and a phlegmatic driver, depending on various conditions of stay in a traffic jam, were obtained using nonlinear models of changes in their functional states. It was revealed that the most significant factor influencing the final level of fatigue of a choleric driver in a congestion is the duration of traffic congestion, the effect of which on the output function is manifested only in conjunction with the initial level of fatigue. The next most important parameter influencing the change in the level of fatigue is the initial value of the level of fatigue before the mash. The influence of the age of the choleric driver on the level of his fatigue in the congestion was less pronounced. As a result of the studies carried out and the revealed patterns, it was found that the duration of the congestion does not significantly affect the condition of the phlegmatic driver. The most important factor influencing his condition is the initial level of fatigue before entering the congestion. It was also found that the conditions of being in a traffic jam most significantly affect older choleric drivers (fifty or more years old) compared to young drivers thirty years old. Analysis of the research results showed that congestion lasting more than ten minutes leads to a significant increase in the level of fatigue of a choleric driver. Such situations can lead to an increased probability of a road traffic accident by a choleric driver. The obtained patterns of changes in the functional state of a choleric driver and a phlegmatic driver in a traffic jam allow predicting the driver's behavior after a traffic jam and assessing various options for the development of the road traffic situation that affect road safety.

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“…The advantages of a proper driving position are clear, which are better visibility, better comfort and quicker response times [4][5]. In contract, an achy back, a stiff neck, a painful shoulder due to constant shaking, rattling, and rolling of everyday commuting will wear drivers out [6]. Some vehicle seats may not adequately fit the lower back curve, putting additional strain on the spine.…”

Section: Introductionmentioning

confidence: 99%

Parametric Modelling of Pedal Pressing Activities During Road Traffic Delay

Zifruddin¹,

Ahmad²,

Isa³

et al. 2022

J. Mod. Mech. Eng. Technol.

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Traffic congestion in big cities in Malaysia has become a common scenario among the communities. The journey between homes to working place twice a day at considerable distances is no longer a strange situation. Being in traffic for hours in a sitting position requires recurrent tasks of manual pressing the pedal and brake excessively and if they are done without the correct sitting posture, it may trigger fatigue faster, particularly for the leg and back of the driver. In the long term, it will negatively affect the health of the driver, particularly in the form of physical, psychological, and emotional. Therefore, this paper is trying to investigate the recurrent brake pedal pressings as well as the leg postures while driving in traffic jam. The research is started with the experimental setup and data acquisition on brake pedal pressing as well as leg posture followed by the modelling and analysis of the obtained data using particle swarm optimization (PSO) modelling technique. The validation step was then executed to verify the model derived using open loop and closed loop performance analysis. The results show that the pedal pressing force of leg posture can be closely represented using 2ndorder transfer function and mimics the actual pedal pressing pattern during road traffic delay.

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

Cited by 3 publications

References 11 publications

Development of models for assessing a driver's failurefree operation in a transportation system under conditions of traffic congestion

Development of models for assessing a driver's failurefree operation in a transportation system under conditions of traffic congestion

Regularities of Changing the Functional State of the Driver in the Transport System in Case of Traffic Congestion

Parametric Modelling of Pedal Pressing Activities During Road Traffic Delay

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

Cited by 3 publications

References 11 publications

Development of models for assessing a driver's failure­free operation in a transportation system under conditions of traffic congestion

Development of models for assessing a driver's failure­free operation in a transportation system under conditions of traffic congestion

Regularities of Changing the Functional State of the Driver in the Transport System in Case of Traffic Congestion

Parametric Modelling of Pedal Pressing Activities During Road Traffic Delay

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Development of models for assessing a driver's failurefree operation in a transportation system under conditions of traffic congestion

Development of models for assessing a driver's failurefree operation in a transportation system under conditions of traffic congestion