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Wyszukujesz frazę "fatigue safety" wg kryterium: Temat


Wyświetlanie 1-6 z 6
Tytuł:
Poor weight control, alcoholic beverage consumption and sudden sleep onset at the wheel among Italian truck drivers: A preliminary pilot study
Autorzy:
Rosso, Gian Luca
Montomoli, Cristina
Candura, Stefano M.
Powiązania:
https://bibliotekanauki.pl/articles/2177436.pdf
Data publikacji:
2016-02-04
Wydawca:
Instytut Medycyny Pracy im. prof. dra Jerzego Nofera w Łodzi
Tematy:
obesity
fatigue
road safety
professional drivers
alcohol consumption
truck drivers
Opis:
Objectives The aim of this study was to investigate the prevalence of obesity, alcoholic beverage consumption, unhealthy alcohol use and sudden sleep onset at the wheel among Italian truck drivers. In addition to prevalence rates, this study also aimed at investigating potential predictors for sudden-onset sleepiness and obesity. Material and Methods A sample of truck drivers was extracted from the database of the High Risk Professional Driver Study. Data concerning demographics, anthropometry, medical information and working conditions were collected using anonymous questionnaires. Logistic regression analyses were performed to assess the association of the reported body mass index (BMI), alcohol consumption and sudden sleep onset with working conditions and general lifestyle factors. Results Three hundred and thirty-five questionnaires were collected. According to their BMI, 45% of the participants were overweight and 21.4% of them were obese. Twenty-four point two percent declared they drank alcoholic beverages during working hours or work breaks and 21.3% of the drivers had an Alcohol Use Disorders Identyfication Test Consumption (AUDIT C) score ≥ 5 (the threshold value for unhealthy alcohol use). Forty-one point six percent of the interviewees experienced one episode of sudden sleep onset at the wheel per month (5.5% per week and 0.9% daily). Predictive factors for obesity were: length of service (odds ratio (OR) = 1.09, confidence interval (95% CI): 1.04–1.15, p < 0.001) and the AUDIT C total score (OR = 1.34, 95% CI: 1.08–1.66, p = 0.008). Predictive factors for sudden-onset sleepiness at the wheel were: age > 55 years old (OR = 5.22, 95% CI: 1.29–21.1, p = 0.020), driving more than 50 000 km per year (OR = 2.89, 95% CI: 1.37–6.11, p = 0.006) and the Chalder Fatigue Questionnaire (CFQ) score > 11 (adjusted OR = 2.97, 95% CI: 1.22–7.21, p = 0.016). Conclusions This study strongly emphasizes the need for intervention in order to reduce and prevent important risk factors for the sake of road safety and truck drivers’ health.
Źródło:
International Journal of Occupational Medicine and Environmental Health; 2016, 29, 3; 405-416
1232-1087
1896-494X
Pojawia się w:
International Journal of Occupational Medicine and Environmental Health
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Analiza wpływu zmęczenia kierowców na ryzyko wypadków na drogach krajowych
Analysis of driver fatigue influence on accident risk on national roads
Autorzy:
Jamroz, K.
Smolarek, L.
Powiązania:
https://bibliotekanauki.pl/articles/144608.pdf
Data publikacji:
2012
Wydawca:
Stowarzyszenie Inżynierów i Techników Komunikacji Rzeczpospolitej Polskiej
Tematy:
zmęczenie kierowców
bezpieczeństwo ruchu
drogi krajowe
driver fatigue
road safety
national roads
Opis:
Przedstawiono charakterystykę czynników wpływających na zmęczenie kierowców. Zidentyfikowano przyczyny, okoliczności i konsekwencje wypadków spowodowanych zmęczeniem kierowców. Wykorzystując wyniki badań opracowano model objaśniający intensywność wypadków i ofiar wypadków w zależności od pory doby. Określono poziom względnego ryzyka wypadków w porze nocnej w stosunku do pory dziennej oraz mapę ryzyka wypadków z ofiarami śmiertelnymi i ciężko rannymi.
The paper presents an overview of factors causing driver fatigue. The causes, circumstances and consequences of accidents caused by driver fatigue were identified. Results of the study were used to build a model showing the relationship between accident and casualty intensity and the time of day. Finally, the level of relative accident risk at night-time vs. daytime was defined. Map showing the risk of death and severe injury on the network of Poland's national roads was included.
Źródło:
Drogownictwo; 2012, 4; 121-126
0012-6357
Pojawia się w:
Drogownictwo
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Driver Fatigue and Road Safety on Poland’s National Roads
Autorzy:
Jamroz, K.
Smolarek, L.
Powiązania:
https://bibliotekanauki.pl/articles/90556.pdf
Data publikacji:
2013
Wydawca:
Centralny Instytut Ochrony Pracy
Tematy:
driver fatigue
road safety
national roads
zmęczenie
kierowcy i maszyniści
bezpieczeństwo ruchu drogowego
Opis:
This paper presents an overview of factors causing driver fatigue as described in the literature. Next, a traffic crash database for 2003–2007 is used to identify the causes, circumstances and consequences of accidents caused by driver fatigue on Poland’s national roads. The results of the study were used to build a model showing the relationship between the concentration of road accidents and casualties, and the time of day. Finally, the level of relative accident risk at night-time versus daytime is defined. A map shows the risk of death and severe injury on the network of Poland’s national roads. The paper suggests to road authorities steps to reduce fatigue-related road accidents in Poland.
Źródło:
International Journal of Occupational Safety and Ergonomics; 2013, 19, 2; 297-309
1080-3548
Pojawia się w:
International Journal of Occupational Safety and Ergonomics
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Road safety for cyclists based on the calories needed
Autorzy:
Bosurgi, Gaetano
Pellegrino, Orazio
Wachnicka, Joanna
Okraszewska, Romanika
Powiązania:
https://bibliotekanauki.pl/articles/2203857.pdf
Data publikacji:
2021
Wydawca:
Politechnika Śląska. Wydawnictwo Politechniki Śląskiej
Tematy:
cyclist
road safety
fatigue
classification
pattern recognition
rowerzysta
bezpieczeństwo drogowe
zmęczenie
klasyfikacja
rozpoznawanie wzorców
Opis:
Cyclists are a vulnerable group of road users, especially when no separate infrastructure for cyclists is provided. Then, road factors such as distance and altitude differences can indirectly affect cyclists' safety. Therefore, the authors proposed a procedure based on the geometric characteristics of the road that can determine riding difficulties for cyclists. The proposed procedure can be used both by the public authorities who manage cyclists' safety and as a method of classifying the road network for cycling. The proposed procedure, based on the use of pattern recognition techniques, analyses data from a sample of nine riders who travelled on rural roads within the Municipality of Messina (Italy) to classify the roads according to their cycling difficulty. For each rider, duration, distance, road slope, altitude difference and spent calories have been measured and analysed. The collected data were used for the development of a model capable of predicting the cyclist’s physical effort as a function of the road alignment itself. Knowing the effort required to cycle along a route can contribute to a more complete assessment of road classification, commonly defined according to motor vehicles. Moreover, it may constitute a measure determining the safety of cycling by encouraging cyclists to travel along roads compatible with their physical abilities.
Źródło:
Transport Problems; 2021, 16, 1; 113--126
1896-0596
2300-861X
Pojawia się w:
Transport Problems
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Falling asleep at the wheel among Italian professional drivers (PDs): Results from the HiRis PD study
Autorzy:
Rosso, Gian L.
Perotto, Massimo
Feola, Mauro
Caramella, Michele
Powiązania:
https://bibliotekanauki.pl/articles/2179015.pdf
Data publikacji:
2014-12-01
Wydawca:
Instytut Medycyny Pracy im. prof. dra Jerzego Nofera w Łodzi
Tematy:
risk factors
fatigue
falling asleep at the wheel
professional drivers
road safety
driver’s health
Opis:
Objectives: A high percentage of professional drivers (PDs) often report feeling fatigue during their work, and falling asleep at the wheel (FAW) is a major contributing factor to the occurrence of near-miss or actual accidents. The aim of this study is to evaluate the prevalence of FAW among Italian PDs and the effect of fatigue on this occurrence (corrected for the main predictive factors already known). Material and Methods: We performed a cross-sectional questionnaire survey. Data from PDs (N = 497) were used for analyses. Logistic regression analyses were performed to assess the association of reported sudden-onset sleep at the wheel with working conditions and general lifestyle factors. Results: Forty-one percent of the interviewees experienced at least 1 episode per month of sudden-onset sleep at the wheel (4.7% per week). Predictive factors of self-reported FAW were: age > 55 years old (odds ratio (OR) = 4.91, confidence interval (CI): 1.79–13.50, p < 0.01), traveling more than 40 thousand miles per year (OR = 1.86, 95% CI: 1.08–3.22, p < 0.05), body mass index ≥ 30 (OR = 2.16, 95% CI: 1.01–4.64, p < 0.05) and Chalder Fatigue Questionnaire score > 22 (OR = 3.93, 95% CI: 1.90–8.14, p < 0.01). Conclusions: There are different work and human factors underlying FAW among PDs. The Chalder Fatigue Questionnaire might be useful in measuring fatigue in this group and in detecting PDs at high risk of experiencing FAW.
Źródło:
International Journal of Occupational Medicine and Environmental Health; 2014, 27, 6; 1005-1012
1232-1087
1896-494X
Pojawia się w:
International Journal of Occupational Medicine and Environmental Health
Dostawca treści:
Biblioteka Nauki
Artykuł
Tytuł:
Biometryczna weryfikacja tożsamości kierowców na podstawie obrazu twarzy
Biometrical driver face verification
Autorzy:
Chmielińska, J.
Jakubowski, J.
Powiązania:
https://bibliotekanauki.pl/articles/315121.pdf
Data publikacji:
2018
Wydawca:
Instytut Naukowo-Wydawniczy "SPATIUM"
Tematy:
bezpieczeństwo ruchu drogowego
system monitoringu
konwolucyjne sieci neuronowe
weryfikacja tożsamości
obraz twarzy
zmęczenie kierowcy
tachograf
road safety
monitoring system
convolutional neural networks
identity verification
face images
driver fatigue
tachogram
Opis:
W artykule przedstawiono problematykę weryfikacji tożsamości na podstawie obrazu twarzy w kontekście systemu monitorowania kierowców na potrzeby bezpieczeństwa w ruchu drogowym. Zaproponowane zostały dwie metody weryfikacji tożsamości oparte na konwolucyjnej sieci neuronowej, opracowane z wykorzystaniem techniki „transfer learningu”. W artykule przedstawione zostały wyniki porównawcze efektywności działania przedstawionych metod a także ich wady oraz zalety.
The paper discusses the problem of face verification in a driver monitoring system for the purpose of traffic safety. Two different methods of face verification were proposed. Both of them are based on a convolutional neural network and were developed with the use of a transfer learning technique. In the paper, the results produced by both proposed method have been presented and compared. Moreover, their advantages and disadvantages have been discussed.
Źródło:
Autobusy : technika, eksploatacja, systemy transportowe; 2018, 19, 6; 68-72, CD
1509-5878
2450-7725
Pojawia się w:
Autobusy : technika, eksploatacja, systemy transportowe
Dostawca treści:
Biblioteka Nauki
Artykuł
    Wyświetlanie 1-6 z 6

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