Search results for "driving performance"
showing 5 items of 5 documents
The self-reported causes of sleepiness in shift-working tram and truck drivers
2021
Identifying the causes of sleepiness in various safety-critical work environments is neces-sary for implementing more efficient fatigue management strategies. In transportation, little is known about drivers' own perceptions of these causes. Therefore, we instructed shift-working tram (n = 23) and long-haul truck drivers (n = 52) to report at the end of their shifts what made them sleepy if they felt so. These self-reports, measured on-duty sleepiness, and sleep amounts were recorded on every shift over a period of 2-3 weeks per driver. The causes of sleepiness were queried with smartphone applications and sleep logs. Sleepiness was measured with the Karolinska Sleepiness Scale (KSS) and sl…
Relationship between cognitive and driving self-assessments in older drivers. Result of epidemiological and experimental on-road studies in france
2015
TRANSED 2015 - 14th International Conference on Mobility and Transport for Elderly and Disabled Persons, LISBONNE, PORTUGAL, 28-/07/2015 - 31/07/2015; Most older drivers are able to efficiently self-regulate their own driving practices, that means reducing driving exposure and avoiding the most challenging driving conditions such as driving at night or in poor weather or at complex intersections. We hypothesized that this self-regulation might exist only if older drivers have accurate insight into their own age-related functional and cognitive decline. This study aims to evaluate how well self-estimation of cognitive ability of older corresponds to their actual driving performance, as asses…
Browsing the information highway while driving: three in-vehicle touch screen scrolling methods and driver distraction
2012
Distraction effects of three alternative touch screen scrolling methods for searching music tracks on a mobile device were studied in a driving simulation experiment with 24 participants. Page-bypage scrolling methods with Buttons or Swipe that better facilitate resumption of visual search following interruptions were expected to lead to more consistent in-vehicle glance durations and thus, on less severe distraction effects than Kinetic scrolling. As predicted, Kinetic scrolling induced decreased visual sampling efficiency and increased visual load compared to Swipe, increased experienced workload compared to both Buttons and Swipe, as well as decreased lane keeping accuracy compared to ba…
Driver Distraction Detection Using Bidirectional Long Short-Term Network Based on Multiscale Entropy of EEG
2022
Driver distraction diverting drivers' attention to unrelated tasks and decreasing the ability to control vehicles, has aroused widespread concern about driving safety. Previous studies have found that driving performance decreases after distraction and have used vehicle behavioral features to detect distraction. But how brain activity changes while distraction remains unknown. Electroencephalography (EEG), a reliable indicator of brain activities has been widely employed in many fields. However, challenges still exist in mining the distraction information of EEG in realistic driving scenarios with uncertain information. In this paper, we propose a novel framework based on Multi-scale entrop…