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    Wyświetlanie 1-13 z 13
    Tytuł:
    Fuel saving index assessment on driving behavior control system of prototype model using neural network
    Autorzy:
    Munahar, Suroto
    Triwiyatno, Aris
    Munadi, M.
    Setiavan, Joga Dharma
    Powiązania:
    https://bibliotekanauki.pl/articles/2173934.pdf
    Data publikacji:
    2022
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    Fuel Saving Index
    FSI
    fuel consumption
    stoichiometry
    driving behaviour
    neural network
    wskaźnik oszczędności paliwa
    zużycie paliwa
    stechiometria
    zachowanie podczas jazdy
    sieć neuronowa
    Opis:
    Efficient fuel consumption in the world is essential in automotive technology development due to the increase in vehicle usage and the decrease in global oil production. Several studies have been conducted to increase fuel consumption savings, Fuel Cells (FCs), the application of alternative energy vehicles and the Engine Control Unit (ECU) system. FCs do not require oil energy to propel the vehicle, so this technology promises to reduce energy consumption and emissions. However, this research still leaves problems. FCs are susceptible to short circuit hazards, and ownership costs are very high. Alternative energy applications produce less power, less responsive acceleration, and insufficient energy sources to enter mass production. The ECU application still has an orientation toward achieving stoichiometry values, so the increase in fuel efficiency has the potential to be improved. Driving behavior is a variable that has a close relationship with fuel consumption efficiency. However, research on driving behavior is only studied for implementation in autonomous car-following technologies, safety systems, charging needs characteristic of electric vehicles, emission controls, and display images on invehicle information systems. Meanwhile, research on driving behavior as a control system to improve fuel efficiency has not been carried out. To that end, this study proposes the use of driving behavior for a newly designed control system to improve fuel efficiency. The control system in this research is a prototype model to be assessed using the Fuel Saving Index (FSI) analysis. An artificial neural network is used to help the recognition of driving behavior. The results showed that the newly designed control system was categorized on scale IV of FSI. On this scale, the power generated by the engine is quite optimal when it is in the eco-scheme driving behavior. The driving behavior control system can significantly improve the efficiency of fuel consumption. Air to Fuel Ratio (AFR) is achieved above the stoichiometric value.
    Źródło:
    Archives of Transport; 2022, 63, 3; 123--141
    0866-9546
    2300-8830
    Pojawia się w:
    Archives of Transport
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Driving under the influence…..”Of social factors”
    Autorzy:
    Arthur, Robert M.
    Powiązania:
    https://bibliotekanauki.pl/articles/2085534.pdf
    Data publikacji:
    2015-11-10
    Wydawca:
    Uniwersytet Warszawski. Wydział Geografii i Studiów Regionalnych
    Tematy:
    Social context
    driving behavior
    speeding
    Opis:
    The bulk of the research that seeks to understand driving behavior and decision making has been performed by behavioral psychologists and engineers. These studies have a tendency to focus on the individual driver, examining such topics as road and vehicle design, cognitive skills, and the effects of collisions on the human body. This disparate research has produced a wealth of knowledge but with little unifying theory. The act of driving occurs within social environments that exist at many levels; the same act can be viewed through multiple lenses. In its exploration of the social context, this paper moves from an analysis of the global scale to the regional to the local. Our roads are monitored by police services and illegal acts are punished by judicial systems; these social institutions attempt to modify behavior through punitive measures. These punitive measures are derived from social theories of deviance and deterrence, methods shown here to be flawed. Empirical data derived from observations in Al Ain, UAE, are used in a quasi-experimental design that describes how drivers alter their choice of speed based on their observations of other drivers. This paper concludes by suggesting that, both by examining and legislating for driver behavior, there is a pressing need to situate the driver within his/her social environment.
    Źródło:
    Miscellanea Geographica. Regional Studies on Development; 2015, 19, 3; 56-62
    0867-6046
    2084-6118
    Pojawia się w:
    Miscellanea Geographica. Regional Studies on Development
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Research on driving behavior decision making system of autonomous driving vehicle based on benefit evaluation model
    Autorzy:
    Wang, Pengwei
    Gao, Song
    Li, Liang
    Cheng, Shuo
    Zhao, Hailan
    Powiązania:
    https://bibliotekanauki.pl/articles/223910.pdf
    Data publikacji:
    2020
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    autonomous driving vehicle
    decision making model
    finite state machine
    lane change decision
    Opis:
    Autonomous driving vehicle could increase driving efficiency, reduce traffic congestion and improve driving safety, it is considered as the solution of current traffic problems. Decision making systems for autonomous driving vehicles have significant effects on driving performance. The performance of decision making system is affected by its framework and decision making model. In real traffic scenarios, the driving condition of autonomous driving vehicle faced is random and time-varying, the performance of current decision making system is unable to meet the full scene autonomous driving requirements. For autonomous driving vehicle, the division between different driving behaviors needs clear boundary conditions. Typically, in lane change scenario, multiple reasonable driving behavior choices cause conflict of driving state. The fundamental cause of conflict lies in overlapping boundary conditions. To design a decision making system for autonomous driving vehicles, firstly, based on the decomposition of human driver operation process, five basic driving behavior modes are constructed, a driving behavior decision making framework for autonomous driving vehicle based on finite state machine is proposed. Then, to achieve lane change decision making for autonomous driving vehicle, lane change behavior characteristics of human driver lane change maneuver are analyzed and extracted. Based on the analysis, multiple attributes such as driving efficiency and safety are considered, all attributes benefits are quantified and the driving behavior benefit evaluation model is established. By evaluating the benefits of all alternative driving behaviors, the optimal driving behavior for current driving scenario is output. Finally, to verify the performances of the proposed decision making model, a series of real vehicle tests are implemented in different scenarios, the real time performance, effectiveness, and feasibility performance of the proposed method is accessed. The results show that the proposed driving behavior decision making model has good feasibility, real-time performance and multi-choice filtering performance in dynamic traffic scenarios.
    Źródło:
    Archives of Transport; 2020, 53, 1; 21-36
    0866-9546
    2300-8830
    Pojawia się w:
    Archives of Transport
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Common driving notification protocol based on classified driving behavior for cooperation intelligent autonomous vehicle using vehicular ad-hoc network technology
    Autorzy:
    Lin,, C.-H.
    Dong, F. -Y.
    Hirota, K.
    Powiązania:
    https://bibliotekanauki.pl/articles/91784.pdf
    Data publikacji:
    2015
    Wydawca:
    Społeczna Akademia Nauk w Łodzi. Polskie Towarzystwo Sieci Neuronowych
    Tematy:
    common driving notification protocol
    CDNP
    intelligent autonomous vehicle
    identification
    simulation tools
    NS-3
    SUMO
    data packet transmission
    vehicle mobility
    inteligentny pojazd autonomiczny
    identyfikacja
    narzędzia symulacyjne
    transmisja danych pakietowych
    mobilność pojazdu
    Opis:
    A protocol, called common driving notification protocol (CDNP), is proposed based on the classified driving behavior for intelligent autonomous vehicles, and it defines a standard with common messages and format for vehicles. The common standard format and definitions of CDNP packet make the autonomous vehicles have a common language to exchange more detail driving decision information of various driving situations, decrease the identification time for one vehicle to identify the driving decisions of other vehicles before or after those driving decisions are performed. The simulation tools, including NS- 3 and SUMO, are used to simulate the wireless data packet transmission and the vehicle mobility; the experiment results present that the proposed protocol, CDNP, can increase the reaction preparing time with maximum value 250 seconds, decrease the identification time and the average travel time. Prospectively, it is decided to implement the CDNP as a protocol stack in the Linux kernel to provide the basic protocol capability for real world transmission testing.
    Źródło:
    Journal of Artificial Intelligence and Soft Computing Research; 2015, 5, 1; 5-21
    2083-2567
    2449-6499
    Pojawia się w:
    Journal of Artificial Intelligence and Soft Computing Research
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Occupational Cognitive Failure and Its Relationship With Unsafe Behaviors and Accidents
    Autorzy:
    Hassanzadeh-Rangi, N.
    Farshad, A. A.
    Khosravi, Y.
    Zare, G.
    Mirkazemi, R.
    Powiązania:
    https://bibliotekanauki.pl/articles/89976.pdf
    Data publikacji:
    2014
    Wydawca:
    Centralny Instytut Ochrony Pracy
    Tematy:
    occupational cognitive failure
    unsafe driving behavior
    accident
    niebezpieczne zachowania
    wypadki
    kierowca
    Opis:
    Objectives. The aim of this study was to assess the relationship between occupational cognitive failures (OCFs) and unsafe behaviors, accidents and driving offences among municipal bus drivers in Tehran, Iran. Methods. Systematic random sampling was used to select 190 drivers from 3 transport and traffic Tehran districts. Data were collected with the occupational cognitive failure questionnaire (OCFQ), the driver behavior questionnaire and a data collection form. Results. The mean (SD) numbers of driving-related offences and road traffic accidents were 1.5 (2.6) and 0.37 (1.0), respectively. The mean (SD) numbers of deliberate driving violations, unintended violations, driving slips and mistakes were 6.97 (5.5), 1.61 (1.5), 13.6 (9.0) and 4.53 (3.28), respectively. The mean (SD) number of the OCFs was 28.9 (20.5). A significant correlation was found between occupational cognitive error and unsafe driving behavior subscales. The stepwise logistic regression results showed that, while controlling the effects of confounding factors, the OCF predicts 6%, 9%, 15% and 9% of deliberate violations, unintended violations, driving slips and driving mistakes, respectively. Conclusion. The results of this study show that the score of the OCFQ is a predictor of unsafe driving behaviors and its subscales.
    Źródło:
    International Journal of Occupational Safety and Ergonomics; 2014, 20, 2; 265-271
    1080-3548
    Pojawia się w:
    International Journal of Occupational Safety and Ergonomics
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Forensic driver identification considering an unknown suspect
    Autorzy:
    Dološ, Klara
    Meyer, Conrad
    Attenberger, Andreas
    Steinberger, Jessica
    Powiązania:
    https://bibliotekanauki.pl/articles/2055146.pdf
    Data publikacji:
    2021
    Wydawca:
    Uniwersytet Zielonogórski. Oficyna Wydawnicza
    Tematy:
    natural driving behavior
    digital biometry
    OCC
    CAN-BUS data
    zachowanie podczas jazdy
    biometria cyfrowa
    Opis:
    One major focus in forensics is the identification of individuals based on different kinds of evidence found at a crime scene and in the digital domain. Here, we assess the potential of using in-vehicle digital data to capture the natural driving behavior of individuals in order to identify them. We formulate a forensic scenario of a hit-and-run car accident with a known and an unknown suspect being the actual driver during the accident. Specific aims of this study are (i) to further develop a workflow for driver identification in digital forensics considering a scenario with an unknown suspect, and (ii) to assess the potential of one-class compared to multi-class classification for this task. The developed workflow demonstrates that in the application of machine learning in digital forensics it is important to decide on the statistical application, data mining or hypothesis testing in advance. Further, multi-class classification is superior to one-class classification in terms of statistical model quality. Using multi-class classification it is possible to contribute to the identification of the driver in the hit-and-run accident in both types of application, data mining and hypothesis testing. Model quality is in the range of already employed methods for forensic identification of individuals.
    Źródło:
    International Journal of Applied Mathematics and Computer Science; 2021, 31, 4; 587--599
    1641-876X
    2083-8492
    Pojawia się w:
    International Journal of Applied Mathematics and Computer Science
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Factors related to motorcycling performance of the elderly: a case study of Khi Lek subdistrict, Ubon Ratchathani province, Thailand
    Autorzy:
    Boonkhao, Laksanee
    Wintachai, Pirawan
    Pongaree, Supasinee
    Rattanachaikunsopon, Pongsak
    Baukeaw, Warisin
    Kaewsuk, Wannee
    Saenrueang, Thitima
    Powiązania:
    https://bibliotekanauki.pl/articles/27314666.pdf
    Data publikacji:
    2023
    Wydawca:
    Politechnika Śląska. Wydawnictwo Politechniki Śląskiej
    Tematy:
    motorcycling performance
    elderly
    driving
    behavior
    Thailand
    osiągi motocyklowe
    osoby starsze
    jazda
    zachowanie
    Tajlandia
    Opis:
    Thailand had a decline in traffic fatalities even though the estimate is only approximate. This study aims to examine the factors related to the motorcycling riding performance of 69 motorcyclists aged 60 and older in Khi Lek Subdistrict, Muang District, Ubon Ratchathani Province. Data were collected from interviews on driving behavior with the participants and their driving performance from the tests modeled on the Thai driving license test. Fisher’s Exact Test was used to analyze the data. The results showed that the elderly exhibited good motorcycle driving behavior (91.30 %); however, their riding ability was at the level of “need to be improved” (85.51%). They showed poor performance on the reflex test (72.46%) and the depth perception test (69.57%). The tests the participants passed were the color blindness test (100%) and the peripheral vision test (61.82%). This study also found that the average daily motorcycle driving distance (p-value = 0.045) and motorcycle driving experience (p-value = 0.036) of the older motorcycle riders were determined to be statistically significant factors. The findings are useful for responsible organizations to decide on road safety policies to lower the risks of accidents involving elderly motorcycle riders in Thailand. They could consider revoking lifetime driver’s licenses, providing training to promote safe driving techniques, and taking into account how the elderly’s riding performance is correlated to their average daily driving distance and driving experience.
    Źródło:
    Zeszyty Naukowe. Transport / Politechnika Śląska; 2023, 120; 37--49
    0209-3324
    2450-1549
    Pojawia się w:
    Zeszyty Naukowe. Transport / Politechnika Śląska
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Further development of a commercial driving simulation for research in occupational medicine
    Autorzy:
    Muttray, Axel
    Breitinger, Anais
    Goetze, Elisabeth
    Schnupp, Thomas
    Geissler, Britta
    Kaufmann, Thomas
    Golz, Martin
    Letzel, Stephan
    Powiązania:
    https://bibliotekanauki.pl/articles/2179069.pdf
    Data publikacji:
    2013-12-01
    Wydawca:
    Instytut Medycyny Pracy im. prof. dra Jerzego Nofera w Łodzi
    Tematy:
    driving simulator
    braking reaction time
    lane keeping behavior
    simulator sickness
    learning effect
    ethanol
    Opis:
    Objectives: The purpose of this study was to refine a commercial car driving simulation for occupational research. As the effects of ethanol on driving behavior are well established, we choose alcohol as a test compound to investigate the performance of subjects during simulation. Materials and Methods: We programmed a night driving scenario consisting of monotonous highway and a rural road on a Foerst F10-P driving simulator. Twenty healthy men, 19-30 years, participated in a pilot study. Subjects were screened for simulator sickness, followed by training on the simulator one hour in total. Experiments were performed in the morning on a separate day. Participants were randomized into either an alcoholized or a control group. All subjects drove two courses consisting of highway and rural road and were sober for the first course. During a 1 h break the ethanol group drank an alcoholic beverage to yield 0.06% blood alcohol concentration (BAC). Generalized linear mixed models were used to analyze the influence of alcohol on driving performance. Among others, independent variables were Simulator Sickness Questionnaire scores and subjective sleepiness. Results: Subjects did not experience simulator sickness during the experiments. Mean BAC before the second test drive was 0.065% in the mildly intoxicated group. There was no clear-cut difference in the number of crashes between 2 groups. BAC of 0.1% would deteriorate mean braking reaction time by 237 ms (SE = 112, p < 0.05). Ethanol slightly impaired the tracking in the righthand curves (p = 0.058). Braking reaction time improved by 86 ms (SE = 36, p < 0.05) for the second test drive, indicating a learning effect. Conclusions: In sum, a clear ethanol effect was observed in the driving simulation. This simulation seems suitable for occupational research and produces little simulator sickness. Controlling for possible learning effects is recommended in driving simulation studies.
    Źródło:
    International Journal of Occupational Medicine and Environmental Health; 2013, 26, 6; 949-965
    1232-1087
    1896-494X
    Pojawia się w:
    International Journal of Occupational Medicine and Environmental Health
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Green Driver: driving behaviors revisited on safety
    Autorzy:
    Muslim, N. H. B.
    Shafaghat, A.
    Keyvanfar, A.
    Ismail, M.
    Powiązania:
    https://bibliotekanauki.pl/articles/223891.pdf
    Data publikacji:
    2018
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    travel behavior
    safe driving
    reckless driving
    driving skills and practice
    green driver
    index assessment model
    zachowania w czasie jazdy
    bezpieczna jazda
    jazda lekkomyślna
    umiejętności i praktyka
    młody kierowca
    Opis:
    Interactions between road users, motor vehicles, and environment affect to driver’s travel behavior; however, frailer of proper interaction may lead to ever-increasing road crashes, injuries and fatalities. The current study has generated the green driver concept to evaluate the incorporation of green driver to negative outcomes reduction of road transportation. The study aimed to identify the green driver’s behaviors affecting safe traveling by engaging two research phases. Phase one was to identify the safe driving behaviors using Systematic literature review and Content Analysis methods. Phase one identified twenty-four (24) sub-factors under reckless driving behaviors cluster, and nineteen (19) sub-factors under safe driving practice cluster. Second phase was to establish the actual weight value of the sub-factors using Grounded Group Decision Making (GGDM) and Value Assignment (VA) methods, in order to determine the value impact of each sub-factor to green driving. Phase two resulted that sub-factors Exceeding speed limits (DB f2.2.) and Driver’s cognitive and motor skills (SD f1.2.2.) have received highest actual values, 0.64 and 0.49, respectively; ranked as the High contributor grade. Contrary, the sub-factors Age cognitive decline (DB f1.2.) and Competitive attitude (DB f1.2.), and Avoid gear snatching (SD f1.1.4.) have the lowest actual values; and ranked in low-contribution grade. The rest of the sub-factors have ranked in medium-contribution grade. The research also found out drivers’ personalities (included, physical and psychological characteristics) remains unaccountable and non-measureable yet in driver travel behavior assessment models. The study outputs would be used in development of Green Driver Index Assessment Model.
    Źródło:
    Archives of Transport; 2018, 47, 3; 49-78
    0866-9546
    2300-8830
    Pojawia się w:
    Archives of Transport
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Managing traffic behavior : a theoretical examination of aggressive driving through a Markovian model
    Autorzy:
    Chión, Sergio J.
    Charles, Vincent
    Powiązania:
    https://bibliotekanauki.pl/articles/406512.pdf
    Data publikacji:
    2019
    Wydawca:
    Politechnika Wrocławska. Oficyna Wydawnicza Politechniki Wrocławskiej
    Tematy:
    traffic
    aggressive
    driving
    cooperative
    competitive
    behaviour
    model
    ruch drogowy
    spółdzielnia
    Opis:
    Driving safety is a major concern all around the world of both the concerned authorities and the general public. In the context in which aggressive driving behaviour is generally considered to be a major cause of traffic accidents, the study of such a problem can help policy-makers in their endeavour to design better programs that aim at reducing aggressive driving behaviour. The purpose of the present paper is to analyse the above-mentioned problem by considering short- and medium-term alternative measures in terms of social cost. The optimal combination of short- and medium-term solutions will be shown to depend on the drivers’ level of aggressiveness, which, naturally, also depends on the gap between the existent infrastructure and the volume of motorized traffic. Special attention is given to the impact of civic campaigns on the level of aggressiveness.
    Źródło:
    Operations Research and Decisions; 2019, 29, 2; 5-20
    2081-8858
    2391-6060
    Pojawia się w:
    Operations Research and Decisions
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Zachowanie kierowcy w trudnej sytuacji drogowej
    The behavior of the driver in difficult driving situations
    Autorzy:
    Borkowski, Dariusz
    Powiązania:
    https://bibliotekanauki.pl/articles/2164913.pdf
    Data publikacji:
    2013-12-15
    Wydawca:
    Ostrołęckie Towarzystwo Naukowe
    Tematy:
    zachowanie
    sytuacja trudna
    kierowca
    zachowanie w sytuacji
    ehavior
    a difficult situation
    driver behavior in a situation
    Opis:
    Artykuł przedstawia zachowanie kierowcy w sytuacji trudnej, w której osiągnięcie wyniku jest możliwe tylko przy zmianie normalnej struktury czynności, tzn. gdy naruszona zostaje względna równowaga między poszczególnymi elementami struktury. Wykonywanie czynności w danych warunkach prowadzi nie tylko do określonych wyników, ale modyfikuje również same wyniki, ponieważ każda czynność pociąga za sobą różnorodne skutki i pozostawia ślady.
    The article presents the behavior of the driver in a difficult situation in which to achieve a result is only possible to change the normal structure of the activity that is affected is the relative balance between the different parts of the structure. Perform activities in the given conditions not only leads to specific results, but also modifies the same results, because each step involves a variety of effects and leaves traces.
    Źródło:
    Zeszyty Naukowe Ostrołęckiego Towarzystwa Naukowego; 2013, Zeszyt, XXVII; 171-184
    0860-9608
    Pojawia się w:
    Zeszyty Naukowe Ostrołęckiego Towarzystwa Naukowego
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Drivers tendencies to engage in aberrant driving behaviors that violate traffic regulations in Kuwait
    Autorzy:
    Shehab, Mahdi
    Alkandari, Dawood
    Powiązania:
    https://bibliotekanauki.pl/articles/2203847.pdf
    Data publikacji:
    2021
    Wydawca:
    Politechnika Śląska. Wydawnictwo Politechniki Śląskiej
    Tematy:
    driver behavior
    aberrant drivers
    traffic flow
    self-report questionnaires
    traffic simulation model
    zachowanie kierowcy
    anormalni kierowcy
    ruch uliczny
    kwestionariusze samooceny
    model symulacji ruchu
    Opis:
    Several abnormal driving behaviors in violation of traffic rules can be observed on the road network in Kuwait. These behaviors would likely hinder traffic flow and can worsen traffic congestion. These behaviors may also cause simulation model outputs to deviate from actual traffic conditions. Such aberrant behaviors have not been addressed in the literature, either in terms of the rate of occurrence or in terms of the factors influencing drivers’ engagement in these behaviors. This study sheds light on drivers' tendencies to engage in five maneuvers that fall into the category of behaviors that violate traffic rules and could have detrimental effects on traffic conditions in Kuwait. The tendencies of drivers to engage in such behaviors were elicited through self- report questionnaires. The study found that a significant number of drivers in Kuwait display these driving behaviors. The effects of driver gender, driver age, and annual driving distance on the tendency of drivers to engage in such behaviors were investigated.
    Źródło:
    Transport Problems; 2021, 16, 1; 19--28
    1896-0596
    2300-861X
    Pojawia się w:
    Transport Problems
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Automation detection of driver fatigue using visual behavior variables
    Automatyczna ocena zmęczenia kierowcy z wykorzystaniem wizualnych zmiennych zachowania
    Autorzy:
    Wang, Y.
    Ma, J.
    Powiązania:
    https://bibliotekanauki.pl/articles/231258.pdf
    Data publikacji:
    2018
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    czas jazdy
    zachowania wizualne
    poziom zmęczenia
    skala senności Stanford
    czynnik prognostyczny
    zmęczenie kierowcy
    driving duration
    visual behaviors
    fatigue level
    Stanford sleepiness scale
    predictor
    driver fatigue
    Opis:
    To examine the correlation of driver visual behaviors and subjective levels of fatigue, a total of 36 commercial drivers were invited to participate in 2-h, 3-h, and 4-h naturalistic driving tests during which their eye fixation, saccade, blinking variables, and self-awareness of their fatigue levels were recorded. Then, one-way ANOVA was applied to analyze the variations of each variable among different age groups over varying time periods. The statistical analysis revealed that driving duration had a significant effect on the variation of visual behaviors and feelings of fatigue. After 2h of driving, only the average closure duration value and subjective level of fatigue had an increase of one-fifth or more. After 4h of driving, however, all these variables had a significant change except for the number of saccades and pupil diameter measurements. Particularly, driver saccadic eye movement was more sensitive to driving fatigue, and the elderly were more likely to be affected by the duration of the drive. Finally, a predictor of driver fatigue was determined to detect the real-time level of fatigue and alert at the critical moment.
    Kierowcy zawodowi spędzają długie godziny za kierownicą i szybciej odczuwają zmęczenie podczas prowadzenia pojazdu. Z tego powodu, identyfikacja poziomu zmęczenia w czasie rzeczywistym ma kluczowe znaczenie dla zapewnienia bezpieczeństwa ruchu drogowego i zapobiegania wypadkom, w szczególności w odniesieniu do osób zajmujących się dalekobieżnym transportem komercyjnym. Łącznie 26 kierowców zawodowych w czterech grupach wiekowych zostało zaproszonych do udziału w naturalistycznym egzaminie na prawo jazdy, podczas którego każdy uczestnik został poproszony o ukończenie 2-godzinnych, 3-godzinnych i 4-godzinnych zadań związanych z prowadzeniem pojazdu, obejmujących przerwę na odpoczynek, na trzech drogach ekspresowych w Shandong, Chiny, celem zarejestrowania zmiennych skupienia wzroku, ruchu gałek ocznych i mrugania oczami, jak również subiektywnego poziomu zmęczenia. Następnie, zastosowano jednoczynnikową analizę wariancji w celu przeanalizowania zmienności każdego wizualnego wskaźnika według grup wiekowych w czasie, a analiza statystyczna wykazała, że nieprzerwana jazda ma istotny wpływ na zmiany wskaźników wizualnych i zgłaszany poziom zmęczenia. Po 2 godzinach prowadzenia pojazdu, zarówno średnia wartość czasu zamknięcia, jak i średni subiektywny poziom zmęczenia uległy znacznej zmianie. Po 4 godzinach prowadzenia pojazdu, wszystkie wizualne wskaźniki kierowcy, inne niź średnia liczba ruchów gałek ocznych i średnia średnica źrenicy, uległy znaczącej zmianie. Z drugiej strony, zmiana poziomu zmęczenia jest dodatnio związana ze zmianą średnicy źrenicy, czasem skupienia wzroku, częstotliwościmrugania, czasem mrugania i czasem zamknięcia. Z drugiej strony, zmiana poziomu zmęczenia była ujemnie związana z ilością skupień wzroku, kątem poszukiwań, liczbą ruchu gałek ocznych, szybkością ruchu gałek ocznych i amplitudą ruchu gałek ocznych. Mówiąc dokładniej, ruch gałek ocznych kierowcy był bardziej czuły na poziom zmęczenia podczas jazdy, a u osób starszych występowało większe prawdopodobieństwo, że wpłynie to na długość jazdy w zmienności zachowań wizualnych i uczucie zmęczenia. W przypadku kierowców zawodowych, przepisy ruchu drogowego powinny ściśle kontrolować długość nieprzerwanej jazdy, a osoby starsze powinny zyskać więcej czasu na odpoczynek. Wreszcie, czynnik prognostyczny zmęczenia kierowcy został określony poprzez zmianę współczynnika wizualnych zmiennych, w celu wykrycia poziomu zmęczenia i ostrzegania w krytycznym momencie, w czasie rzeczywistym.
    Źródło:
    Archives of Civil Engineering; 2018, 64, 2; 175-185
    1230-2945
    Pojawia się w:
    Archives of Civil Engineering
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-13 z 13

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