Driver Distraction in Commercial Vehicle Operations (TechBrief)

NHTSA · 2009 · ROSA P / United States. Federal Motor Carrier Safety Administration

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Summary

This study, conducted by the Federal Motor Carrier Safety Administration (FMCSA) and Virginia Tech Transportation Institute, investigates the impact of driver distraction on commercial motor vehicle (CMV) safety. Motivated by the strategic objective to produce safer drivers and reduce crash severity, the research addresses the significant role distraction plays in commercial vehicle operations. While earlier crash databases suggested distraction contributed to 30% of crashes, naturalistic studies indicated much higher rates. This investigation aims to quantify the specific risks associated with various distracting tasks in CMV operations using naturalistic driving data. The researchers analyzed data from two prior naturalistic CMV studies: a 2004 field operational test of a drowsy driver warning system and the 2007 Naturalistic Truck Driving Study. The combined dataset included 203 drivers, 55 instrumented trucks from seven fleets, and approximately 3 million miles of continuously collected kinematic and video data. Analysts identified 4,452 safety-critical events, including crashes, near-crashes, crash-relevant conflicts, and unintentional lane deviations, and compared them against 19,888 randomly selected baseline epochs of normal driving. Driver behaviors were categorized into primary, secondary, and tertiary tasks, with tertiary tasks further grouped by complexity. The analysis calculated odds ratios (OR) to determine relative risk and population attributable risk (PAR) percentages to assess the frequency and overall impact of each task. The findings reveal that tertiary tasks drawing the driver’s eyes away from the forward roadway significantly increase crash risk. Text messaging on a cell phone presented the highest risk, with an odds ratio of 23.2, meaning drivers were 23.2 times more likely to be involved in a safety-critical event while texting. Other high-risk tasks included interacting with dispatching devices (OR = 9.9), writing (OR = 9.0), using a calculator (OR = 8.2), and dialing a cell phone (OR = 5.9). Visual demand analysis confirmed that these high-risk tasks required the longest durations of eyes off the road, such as 4.6 seconds for texting. Conversely, talking or listening on a hands-free phone (OR = 0.4) and CB radio (OR = 0.6) showed a protective effect, potentially due to increased driver alertness. In terms of population risk, reaching for an object had the highest PAR (7.6%) due to its high frequency, followed by interacting with dispatching devices (3.1%) and dialing cell phones (2.5%). The study concludes that fleet safety managers should implement policies minimizing or eliminating the use of in-vehicle devices and distracting activities like texting, writing, and reading while driving. It recommends that designers develop user-friendly, hands-free interfaces for dispatching devices to keep drivers’ eyes on the road. The authors also suggest further research into the protective effects of certain tasks, such as voice communication, which may help mitigate drowsiness or inattentiveness. These findings provide actionable guidelines for improving CMV safety by reducing visual and cognitive distractions.

Key finding

Text messaging while driving increased the odds of a safety-critical event by 23.2 times, whereas hands-free phone use and CB radio listening provided significant protective effects with odds ratios of 0.4 and 0.6 respectively.

Methodology

naturalistic

Sample size: 203

Provenance

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Summary generated by qwen3.6-27b-prismaquant on 2026-06-10; verification: verified.

Topics

Ranked by relevance to this paper. Hover a topic for its definition.

• visual
• visual manual
• distraction detection algorithms
• external distraction
• manual
• temporal

Information type

What kind of knowledge this paper contributes, grouped by family — independent of topic (what it is about) and method (how it was studied).

• Empirical Findings: observational prevalence, crash risk outcomes
• Theoretical Contribution: conceptual framework