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Title: Testing the Effectiveness of Objective and Subjective Predictors of Driving Behavior under Fatigue
Accession Number: 01703756
Record Type: Component
Record URL: Availability: Find a library where document is available Abstract: There is growing evidence that driver fatigue is a major road safety problem, causing crashes that frequently involve fatalities and severe injuries. Professional drivers are among the road users indicated by literature to be at high risk of involvement in a fatigue-related crash. The goal of this paper is to investigate the effectiveness of objective and subjective data collection and analysis in predicting driving behavior under fatigue. Toward this goal, the impact of a fatigue-training program addressing professional drivers was assessed through a naturalistic study on data collected by trip recorders (Geographical Positioning System devices). Analysis of these data was supplemented with the collection of self-reported data obtained through a questionnaire survey to investigate potential threats, deficiencies, and bias of the approaches. Findings revealed that there is some correlation between the two approaches measuring driving behavior under fatigue. Focusing on self-reported data, it was indicated that the training program affected positively the direction of change in the behavior of the professional drivers, addressed by an increase in the proportion of drivers who stop and rest when tired. The naturalistic approach and the testing of potential differences before and after the training program with reference to speed and average stop time showed that the training program encouraged drivers to reduce their speed and increase the time that they stop and rest.
Report/Paper Numbers: 19-03772
Language: English
Authors: Adamos, GiannisNathanail, EftihiaPagination: pp 343-352
Publication Date: 2019-8
Serial:
Transportation Research Record: Journal of the Transportation Research Board
Volume: 2673 Media Type: Digital/other
Features: References
(37)
; Tables
(6)
TRT Terms: Subject Areas: Data and Information Technology; Education and Training; Highways; Safety and Human Factors
Files: TRIS, TRB, ATRI
Created Date: Mar 25 2019 10:18AM
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