Distracted driving and associated crash risks : tech summary.

NHTSA · 2014 · ROSA P / Southwest Region University Transportation Center (U.S.)

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Summary

This study addresses the limitations of police-reported crash data in accurately quantifying distracted driving risks, which often lack sufficient detail on causation. To overcome this, researchers utilized a driving simulator at Louisiana State University to measure the specific impacts of three common distractions: handheld phone conversations, texting, and front-seat passenger conversations. The primary objective was to establish performance measures for distraction levels and compare driving behaviors with and without these secondary tasks. The methodology involved a pilot study with 13 participants to refine experimental protocols, followed by a main study with 67 volunteers (average age 26.8 years). Participants completed both a control drive and a treatment drive involving random events of the three distraction types. Lane position variability and mean velocity were selected as surrogate measures for lateral and longitudinal vehicle control, respectively. Statistical analysis, primarily ANOVA, was conducted at a 95% confidence level to determine significant deviations from baseline driving performance. The results indicated distinct effects for each distraction type. Texting caused significant lateral and longitudinal deviations that speed reductions could not compensate for, attributed to high visual demands. Front-seat passenger conversation resulted in significant lateral deviations but no significant longitudinal changes. In contrast, handheld phone conversations did not produce significant lateral or longitudinal deviations; participants significantly slowed their speeds to compensate, though the study noted that cognitively demanding conversations might yield different results. Demographic and environmental factors also influenced performance. Younger drivers (under 25) exhibited better lateral control but worse longitudinal control compared to older drivers. Females demonstrated superior control in both dimensions compared to males. Driving on freeways resulted in worse control than in urban settings, likely due to higher speeds and less interrupted traffic flow. Nighttime driving exacerbated lateral deviations during texting on freeways, while weather conditions generally saw best performance in normal or rainy conditions. The authors conclude that while some distractions allow for compensatory speed reduction, others like texting pose significant risks that cannot be mitigated by slowing down. They recommend further research using naturalistic driving data to develop a comprehensive distraction index for predicting crash risks.

Key finding

Texting produced statistically significant lateral and longitudinal deviations from baseline, whereas handheld phone conversation produced no significant deviation because drivers slowed to compensate.

Methodology

simulator

Sample size: 67

Provenance

The full processing record for this entry. Every stage of this paper's journey through the pipeline is logged — what ran, with which tool and model, how many attempts it took, and when it last completed. Discovered via bulk_ingest_rosap on 2026-05-23 (7 acquisition events logged).

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 manual
• mobile phones
• manual
• distraction laws
• distraction detection algorithms
• external distraction

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, behavioral performance data
• Theoretical Contribution: conceptual framework