An Assessment of Driver Drowsiness, Distraction, and Performance in a Naturalistic Setting
نویسندگان
چکیده
FOREWORD The purpose of this report is to document the results of a study undertaken to characterize episodes of driver fatigue and drowsiness and to assess the impact of driver fatigue on driving performance. This data mining effort performed additional analyses on the data collected in an earlier Federal Motor Carrier Safety Administration (FMCSA) study of the effects of fatigue on drivers in local/short-haul operations. In connection to this report, researchers were tasked by the FMCSA to investigate fatigue as a naturally occurring phenomenon by identifying and characterizing episodes of drowsiness that occurred during every period of driving. In addition, the researchers were to determine the operational or driving-environment factors associated with drowsy driving. A total of 2,745 drowsy events were identified in approximately 900 total hours of naturalistic driving video data. Higher levels of fatigue were found to be associated with younger and less experienced drivers. In addition, a strong and consistent relationship was found between drowsiness and the time of day. Drowsy driving events were twice as likely to occur between 6 a.m. and 9 a.m., as compared to baseline, or non-fatigued driving, and approximately 30 percent of all observed instances of drowsiness occurred in the first hour of the work shift. This report will be interesting both for motor carrier managers and for drivers as they deal with everyday fatigue issues in the commercial motor vehicle business. NOTICE This document is disseminated under the sponsorship of the Department of Transportation in the interest of information exchange. The United States Government assumes no liability for its contents or the use thereof. The contents of this report reflect the views of the contractor, who is responsible for the accuracy of the data presented herein. The contents do not necessarily reflect the official policy of the Department of Transportation. This report does not constitute a standard, specification, or regulation. The United States Government does not endorse products or manufacturers. Trade or manufacturers' names appear herein only because they are considered essential to the object of this document. This report documents the results of a study to characterize episodes of driver drowsiness and to assess the impact of drowsiness on driving performance. This data mining effort performed additional analyses on the data collected in an earlier FMCSA study of the effects of fatigue on drivers in local/short haul operations. The primary objectives of the study were to investigate drowsiness as a …
منابع مشابه
Driver Drowsiness Detection by Identification of Yawning and Eye Closure
Today most accidents are caused by drivers’ fatigue, drowsiness and losing attention on the road ahead. In this paper, a system is introduced, using RGB-D cameras to automatically identify drowsiness and give warning. In this system two important modules have been utilized simultaneously to identify the state of driver’s mouth and eyes for detecting drowsiness. At first, using the depth informa...
متن کاملA review of the literature
background, aim, method, result) max 200 words: Driver distraction has been defined in many different ways. The most important difference is whether only visual inattention or also cognitive inattention should be included. Many different methods have been used to assess the prevalence and types of driver distraction that occur, and to describe the consequences in terms of driving performance an...
متن کاملInformation fusion for robust 'context and driver aware' active vehicle safety systems
Although there is currently significant development in active vehicle safety (AVS) systems, the number of accidents, injury severity levels and fatalities has not reduced. In fact, human error, low performance, drowsiness and distraction may account for a majority in all the accident causation. Active safety systems are unaware of the context and driver status, so these systems cannot improve t...
متن کاملVision-based method for detecting driver drowsiness and distraction in driver monitoring system
Jaihie Kim Yonsei University School of Electrical and Electronic Engineering 134 Sinchon-dong, Seodaemun-gu Seoul, Seoul 120-749, Republic of Korea E-mail: [email protected] Abstract. Most driver-monitoring systems have attempted to detect either driver drowsiness or distraction, although both factors should be considered for accident prevention. Therefore, we propose a new drivermonitoring me...
متن کاملDetecting driver distraction
The increasing use of in-vehicle information systems (IVISs), such as navigation devices and MP3 players, can jeopardize safety by introducing distraction into driving. One way to address this problem is to develop distraction mitigation systems, which adapt IVIS functions according to driver state. In such a system, correctly identifying driver distraction is critical, which is the focus of th...
متن کامل