This study investigated the impact of driver distraction in commercial motor vehicle (CMV) operations. Data from two earlier naturalistic studies were combined to create a data set of 203 CMV drivers and 55 trucks from seven trucking fleets operating at 16 locations. A total of 4,452 safety-critical events (i.e., crashes, near-crashes, crash-relevant conflicts, and unintentional lane deviations) were identified in the data set, along with 19,888 baseline (uneventful, routine driving) epochs. Data analyses included odds ratio calculations and population attributable risk estimates. Key findings were that drivers were engaged in non-driving related tasks in 71 percent of crashes, 46 percent of near-crashes, and 60 percent of all safety-critical events. Also, performing highly complex tasks while driving lead to a significant increase in risk. Eye glance analyses examined driver eye location while performing tasks while operating a CMV. Tasks associated with high odds ratios (increased risk) were also associated with high eyes off forward road times. This suggests that tasks that draw the drivers visual attention away from the forward roadway should be minimized or avoided. Based on the results of the analyses, a number of recommendations are presented that may help address the issue of driver distraction in CMV operations.
Driver Distraction in Commercial Vehicle Operations
2009
285 pages
Report
Keine Angabe
Englisch
Transportation Safety , Road Transportation , Job Environment , Transportation & Traffic Planning , Transportation , Motor vehicle operators , Driver behavior , Distraction , Literature reviews , Data reduction , Recommendations , Data analysis , Crash risks , Inattention , Driver performance , Driver safety , Driver distraction , Commercial motor vehicles (CMV) , Eye glance analyses , Drowsy Driver Warning System , Naturalistic Truck Driving Study , Naturalistic data , Safety critical events
British Library Online Contents | 1997
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