Asleep at the Wheel-The Road to Addressing Drowsy Driving.

Sleep

National Highway Traffic Safety Administration, US Department of Transportation,Washington, DC.

Published: February 2017

AI Article Synopsis

  • Drowsy driving significantly contributes to thousands of deaths and injuries yearly, highlighting its dangerous nature.
  • There is potential for drivers to change their drowsy driving habits with enough information and motivation.
  • The article discusses a recent meeting between sleep experts and highway safety professionals and outlines initial steps taken to combat drowsy driving incidents.

Article Abstract

Drowsy driving is a dangerous behavior that leads to thousands of deaths and injuries each year. It is also a controllable factor for drivers. Drivers are capable of modifying this behavior if given sufficient information and motivation. Our goal is to establish a comprehensive and strategic effort to end drowsy driving crashes and deaths. This article highlights some of the conclusions of a unique recent meeting of sleep experts and highway safety professionals and describes the first steps the community has taken and plans to take in the future to address this issue.

Download full-text PDF

Source
http://dx.doi.org/10.1093/sleep/zsx001DOI Listing

Publication Analysis

Top Keywords

drowsy driving
12
asleep wheel-the
4
wheel-the road
4
road addressing
4
addressing drowsy
4
driving drowsy
4
driving dangerous
4
dangerous behavior
4
behavior leads
4
leads thousands
4

Similar Publications

In recent years, the growing number of vehicles on the road have exacerbated issues related to safety and traffic congestion. However, the advent of the Internet of Vehicles (IoV) holds the potential to transform mobility, enhance traffic management and safety, and create smarter, more interconnected road networks. This paper addresses key road safety concerns, focusing on driver condition detection, vehicle monitoring, and traffic and road management.

View Article and Find Full Text PDF

Purpose: Two previously proposed modelling approaches to explain the bimodal pattern of activity and/or sleep in are based on 1) the concept of morning and evening oscillators underlying the peaks of activity in the morning and evening, respectively, and 2) the concept of two cycles of buildup and decay of sleep pressure, gated only by the circadian oscillator. Previously, we simulated 24-h alertness-sleepiness curves in humans using a model postulating the circadian modulation of the buildup and decay phases of two (wake and sleep) homeostatic processes. Here, we tested whether a similar model could be applied to simulate the bimodal 24-h rhythm of fly locomotor activity and sleep.

View Article and Find Full Text PDF

Accurate monitoring of drowsy driving through electroencephalography (EEG) can effectively reduce traffic accidents. Developing a calibration-free drowsiness detection system with single-channel EEG alone is very challenging due to the non-stationarity of EEG signals, the heterogeneity among different individuals, and the relatively parsimonious compared to multi-channel EEG. Although deep learning-based approaches can effectively decode EEG signals, most deep learning models lack interpretability due to their black-box nature.

View Article and Find Full Text PDF

Mood variation under dual regulation of circadian clock and light.

Chronobiol Int

January 2025

Laboratory of Braintime, Graduate Institute of Mind, Brain and Consciousness (GIMBC), Taipei Medical University, Taipei, Taiwan.

The intricate relationship between circadian rhythms and mood is well-established. Disturbances in circadian rhythms and sleep often precede the development of mood disorders, such as major depressive disorder (MDD), bipolar disorder (BD), and seasonal affective disorder (SAD). Two primary factors, intrinsic circadian clocks and light, drive the natural fluctuations in mood throughout the day, mirroring the patterns of sleepiness and wakefulness.

View Article and Find Full Text PDF

Background: Excessive daytime sleepiness (EDS) is considered to be one of the main clinical manifestations of obstructive sleep apnea (OSA) and is a treatment target for patients with OSA. The prevalence of EDS in patients with OSA remains unclear and there is a lack of studies on the associations of EDS with quality of life among patients with OSA in China. This study aimed to evaluate the prevalence of EDS and its association with quality of life in patients with OSA in Shenzhen, China.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!