| 1. |
- Filtness, Ashleigh J., et al.
(författare)
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A practical human factors method for developing successful fatigue countermeasures
- 2023. - 1
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Ingår i: The Handbook of Fatigue Management in Transportation. - Boca Raton : CRC Press. - 9781003213154
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Bokkapitel (övrigt vetenskapligt/konstnärligt)abstract
- In order to manage driver fatigue in transportation it is important to understand the underlying reasons behind fatigue and to recognise that most often fatigue is caused by multiple factors. When designing countermeasures, it is vital that the proposed approach is targeted at the specific problem (cause of fatigue). The most effective approach to fatigue management will include a mix of countermeasures to be deployed in the short, medium, and long term. For any approach to fatigue management to be effective there is a need for shared responsibility. A wide range of involved parties will be influential, including drivers and their families, managers, companies, regulators, unions, and enforcement agencies. This chapter includes a four-step method to evaluate a company’s fatigue situation, understand problem areas, and propose countermeasures that are targeted to be most likely to succeed. This is achieved through the following: (1) understanding the current situation through data collection, (2) synthesising findings into key insights, (3) mapping potential solutions onto identified problems, and (4) implementing countermeasures and review. An open organisational culture is essential for successful fatigue management. A step-by-step approach is likely to be most beneficial, with smaller, easier-to-accept changes being introduced and accepted first before moving up to more sophisticated solutions over time.
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| 2. |
- Filtness, Ashleigh J, et al.
(författare)
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Sleep-related eye symptoms and their potential for identifying driver sleepiness
- 2014
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Ingår i: Journal of Sleep Research. - : Wiley. - 0962-1105 .- 1365-2869. ; 23:5, s. 568-75
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Tidskriftsartikel (refereegranskat)abstract
- The majority of individuals appear to have insight into their own sleepiness, but there is some evidence that this does not hold true for all, for example treated patients with obstructive sleep apnea. Identification of sleep-related symptoms may help drivers determine their sleepiness, eye symptoms in particular show promise. Sixteen participants completed four motorway drives on two separate occasions. Drives were completed during daytime and night-time in both a driving simulator and on the real road.Ten eye symptoms were rated at the end of each drive, and compared with driving performance and subjective and objective sleep metrics recorded during driving. 'Eye strain', 'difficulty focusing', 'heavy eyelids' and 'difficulty keeping the eyes open' were identified as the four key sleep-related eye symptoms. Drives resulting in these eye symptoms were more likely to have high subjective sleepiness and more line crossings than drives where similar eye discomfort was not reported. Furthermore, drivers having unintentional line crossings were likely to have 'heavy eyelids' and 'difficulty keeping the eyes open'. Results suggest that drivers struggling to identify sleepiness could be assisted with the advice 'stop driving if you feel sleepy and/or have heavy eyelids or difficulty keeping your eyes open'.
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| 3. |
- Forsman, Åsa, 1972-, et al.
(författare)
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Injury crashes and the relationship with disease causing excessive daytime sleepiness
- 2021
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Ingår i: Traffic Injury Prevention. - : Informa UK Limited. - 1538-9588 .- 1538-957X. ; 22:4, s. 272-277
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Tidskriftsartikel (refereegranskat)abstract
- Objective: The objective of this study was to understand the relationship between some of the most common diseases that are known to contribute to excessive daytime sleepiness (EDS) and traffic injury crashes. Specific focus was on the relationship between disease and crash type (single-vehicle or multiple-vehicle crash) and between disease and injury severity.Methods: This registry-based study considered all passenger car drivers involved in a crash in Sweden between 2011 and 2016 who were 40 years or older at the time of the crash (n = 54,090). For each crash-involved driver, selected medical diagnoses registered from 1997 until the day before the crash were extracted from the National Patient Register. The drivers were assigned to 1 of 4 groups, depending on prior diseases: sleep apnea (SA; group 1, n = 2,165), sleep disorders (group 2, n = 724), Parkinson's or epilepsy (group 3, n = 645) and a reference group (group 4, n = 50,556). Logistic regression analysis compared single-vehicle crashes with multiple-vehicle crashes and moderately/severely injured drivers with slightly/uninjured drivers.Results: Drivers with EDS-related diseases (groups 1-3) had higher probability of a single-vehicle crash than a multiple-vehicle crash compared to the reference group. The most sizeable effect was found for Parkinson's/epilepsy with an odds ratio (OR) of 2.5 (confidence interval [CI], 2.1-3.0). For multiple-vehicle crashes, the probability of a moderate/severe injury was higher for drivers with other sleep disorders (OR = 1.5; CI, 1.0-2.2) and Parkinson's/epilepsy (OR = 1.6; CI, 1.1-2.3) compared to the reference group.Conclusions: This study has made first steps toward understanding the relationship between some of the most common diseases that are known to contribute to EDS and crashes. Having Parkinson's/epilepsy, in particular, elevated the probability of a single-vehicle crash compared to a multiple-vehicle crash. A single-vehicle crash was seen as indicative of causing a crash; thus, having Parkinson's/epilepsy could be interpreted as a risk factor for crash involvement. Having Parkinson's/epilepsy, as well as other sleep disorders, was also related to more severe outcomes in multiple-vehicle crashes, given that a crash occurred. This was not identified in single-vehicle crashes.
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| 4. |
- Larue, Grégoire S., et al.
(författare)
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Is it safe to cross? Identification of trains and their approach speed at level crossings
- 2018
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Ingår i: Safety Science. - : Elsevier BV. - 0925-7535 .- 1879-1042. ; 103, s. 33-42
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Tidskriftsartikel (refereegranskat)abstract
- Improving the safety at passive rail crossings is an ongoing issue worldwide. These crossings have no active warning systems to assist drivers' decision-making and are completely reliant on the road user perceiving the approach of a train to decide whether to enter a crossing or not. This study aimed to better understand drivers' judgements regarding approaching trains and their perceptions of safe crossing. Thirty-six participants completed a field-based protocol that involved detecting and judging the speeds of fast moving trains. They were asked to report when they first detected an approaching train, when they could first perceive it as moving, as well as providing speed estimates and a decision regarding when it would not be safe to cross. Participants detected the trains similar to 2 km away and were able to perceive the trains as moving when they were 1.6 km away. Large differences were observed between participants but all could detect trains within the range of the longest sighting distances required at passive level crossings. Most participants greatly underestimated travelling speed by at least 30%, despite reporting high levels of confidence in their estimates. Further, most participants would have entered the crossing at a time when the lights would have been activated if the level crossing had been protected by flashing lights. These results suggest that the underestimation of high-speed trains could have significant safety implications for road users' crossing behaviour, particularly as it reduces the amount of time and the safety margins that the driver has to cross the rail crossing.
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