Search results for "drivers"
showing 4 items of 54 documents
Accumulation of sleep loss among shift-working truck drivers
2021
Sleep loss is known to contribute to road traffic accidents. Professional drivers are vulnerable to curtailment of sleep due to long driving bouts and shift work. To fill in the gap in the literature related to the buildup of sleep loss in irregular shift systems, we recorded the sleep and working hours of 47 shift-working long-haul truck drivers during a two-week period. Sleep (time in bed) was verified by actigraphy and sleep logs. Sleepiness was measured using the Karolinska Sleepiness Scale (KSS). Individual sleep need was based on self-assessments. We examined the accumulated sleep versus self-reported sleep need across the study period, using midnights as points of observation, and th…
Assessing risk perception over recidivist traffic offenders from a multi-group approach: how gendered could it be?
2022
ABSTRACT Objective: The core aim of this study was to examine the predictive role of demographic, psychosocial and driving features of Spanish drivers on their risk perception over recidivist traffic offenders, focusing on gender as a key differentiating factor. Method: For this cross-sectional study, it was analyzed the data gathered from a nationwide sample of 1,711 licensed drivers from the 17 regions of Spain (49% females, 51% males) with a mean age of 40.07 years, responding to a telephone-based interview on road safety issues. Demographic, driving-related and psychosocial factors were comparatively analyzed through robust tests and a bias-corrected MGSEM (Multi-Group Structural Equati…
Predicting fruit and vegetable consumption in long-haul heavy goods vehicle drivers : application of a multi-theory, dual-phase model and the contrib…
2018
Fruit and vegetable intake is insufficient in industrialized nations and long-haul heavy goods vehicle (HGV) drivers are considered a particularly at-risk group. The aim of the current study was to test the effectiveness of a multi-theory, dual-phase model to predict fruit and vegetable consumption in Australian long-haul HGV drivers. A secondary aim was to examine the effect of past fruit and vegetable consumption on model paths. A prospective design with two waves of data collection spaced one week apart was adopted. Long-haul HGV drivers (N = 212) completed an initial survey containing theory-based measures of motivation (autonomous motivation, intention), social cognition (attitudes, su…
Dealing with the right of way in advanced traffic simulation. A characterization of drivers' behaviours in a multi-agent approach
2017
International audience; With the emergence of ADAS and autonomous vehicle, the need of simulation software to test advanced systems and models is unavoidable. The objective of this work is to characterize, in a multi-agent approach, the traffic vehicles behaviours, and to model them in a versatile traffic simulator, serving as a testing tool for integration in the traffic module of the SCANeR Studio T M simulation software. The algorithm will bring more natural interactions between vehicles in simulation and allow the emergence of new relevant situations for autonomous vehicles, observable in real, such as collision risk situations or even accidents, which have for now to be scripted in sce…