Crash Risk and Mobile Device Use Based on Fatigue and Drowsiness Factors in Truck Drivers

Simple item page
dc.contributor.authorToole, Lauraen
dc.contributor.committeechairSmith-Jackson, Tonya L.en
dc.contributor.committeechairHanowski, Richard J.en
dc.contributor.committeememberWinchester, Woodrow W.en
dc.contributor.departmentIndustrial and Systems Engineeringen
dc.date.accessioned2014-04-23T21:57:47Zen
dc.date.available2014-04-23T21:57:47Zen
dc.date.issued2013-01-07en
dc.description.abstractDriver distraction has become a major concern for the U.S. Department of Transportation (US DOT).  Performance decrements are typically the result of driver distraction because attentional resources are limited, which are limited; fatigue and drowsiness limit attentional resources further.  The purpose of the current research is to gain an understanding of the relationship between mobile device use (MDU), fatigue, through driving time and time on duty, and drowsiness, through time of day and amount of sleep, for commercial motor vehicle drivers.  A re-analysis of naturalistic driving data was used to obtain information about the factors, MDU, safety-critical events (SCE), and normal driving epochs.  Odds ratios were used to calculate SCE risk for 6 mobile device use subtasks and each of the factors, which were divided into smaller bins of hours for more specific information.  A generalized linear mixed model and chi-square test were used to assess MDU for each factor and the associated bins.  Results indicated visually demanding subtasks were associated with an increase in SCE risk, but conversation on a hands-free cell phone decreased SCE risk.  There was an increase in SCE risk for visual manual subtasks for all bins in which analyses were possible.  Drivers had a higher proportion of MDU in the early morning (circadian low period) than all other times of day that were analyzed.  These results will be used to create recommended training and evaluate policy and technology and will help explain the relationship between MDU, fatigue, and drowsiness.en
dc.description.degreeMaster of Scienceen
dc.format.mediumETDen
dc.identifier.othervt_gsexam:56en
dc.identifier.urihttp://hdl.handle.net/10919/47599en
dc.publisherVirginia Techen
dc.rightsIn Copyrighten
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.subjectCommercial motor vehiclesen
dc.subjectFatigueen
dc.subjectdrowsinessen
dc.subjectdistractionen
dc.subjectNaturalistic Truck Driving Studyen
dc.titleCrash Risk and Mobile Device Use Based on Fatigue and Drowsiness Factors in Truck Driversen
dc.typeThesisen
thesis.degree.disciplineIndustrial and Systems Engineeringen
thesis.degree.grantorVirginia Polytechnic Institute and State Universityen
thesis.degree.levelmastersen
thesis.degree.nameMaster of Scienceen

Files

Original bundle
Now showing 1 - 3 of 3
Thumbnail Image
Name:
Toole_LM_T_2013.pdf
Size:
1.4 MB
Format:
Adobe Portable Document Format
Download
Name:
Toole_LM_T_2013_support_1.docx
Size:
809.4 KB
Format:
Microsoft Word XML
Description:
Supporting documents permissions:-r 'VT_Campus'
Download
Thumbnail Image
Name:
Toole_LM_T_2013_support_2.pdf
Size:
417.51 KB
Format:
Adobe Portable Document Format
Description:
Supporting documents permissions:-r 'VT_Campus'
Download

Collections

Masters Theses