A Naturalistic Driving Study Across the Lifespan. Final Report

Stavrinos, Despina; Ross, Lesley; Sisiopiku, Virginia · 2014 · ROSA P / Southeastern Transportation Research, Innovation, Development and Education Center (STRIDE)

archive: archived pipeline: cataloged verified

Get this paper ↗ (full text — opens at the source; we link to it, we don't host it)

Summary

The Senior and Adolescent Naturalistic Driving Study (SANDS) addresses the high rates of motor vehicle crashes (MVCs) among two at-risk populations: teens (ages 16–19) and older adults (ages 65+). Motivated by the limitations of self-report data, which often fails to accurately reflect actual driving habits, the study aimed to examine unbiased real-world driving mobility, safety, and behavior using objective naturalistic methodologies. The research sought to compare self-reported measures with objective data, assess the association between secondary tasks (such as cell phone use) and driving safety, and identify demographic, cognitive, sensory, and physical predictors of unsafe driving across the lifespan. The study employed a comprehensive research design involving baseline assessments of demographics, cognitive, sensory, and physical functioning, followed by the installation of a novel Naturalistic Data Acquisition Device (N-DAD) in participants’ vehicles for two weeks. The N-DAD collected objective data through photographs, high g-force events (indicating crashes or critical incidents), and GPS coordinates. Participants also completed post-test assessments providing self-reported information on driving safety and behavior. The study included a pilot validation phase to test the N-DAD’s accuracy and utilized correlation matrices and regression models to analyze the relationship between subjective reports, objective driving metrics, and various predictor variables. Key findings revealed a general lack of association between self-reported and objectively measured driving variables, with one notable exception: a significant correlation between self-reported and observed cell phone interaction. Specifically, the frequency of talking on a cell phone correlated with increased acceleration events in teens and a higher percentage of risky trips in older adults. Regression analyses identified distinct predictors for each group. In the combined sample, education and cognitive task performance predicted risky driving trips. For teens, the percentage of risky trips increased with higher education levels. For older adults, worse vision and higher body mass index (BMI) predicted a greater percentage of risky driving trips. Qualitative data indicated that participants were generally satisfied with the N-DAD and expressed interest in using such technology for insurance discounts. The study concludes that while objective naturalistic data provides valuable insights, the results must be interpreted with caution due to technical limitations of the N-DAD, such as data quality issues in extreme environmental conditions. The findings highlight the necessity of advanced technology for accurate driving assessment and suggest that risk factors differ significantly between teens and older adults. The authors recommend incorporating advanced audio and video recording capabilities in future devices, including underrepresented groups in research, and exploring public-private partnerships to develop widespread applications for monitoring driving safety.

Key finding

Self-reported and objectively measured driving variables showed a general lack of association, except for cell phone interaction which was significantly correlated between self-report and objective measures.

Methodology

naturalistic

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 (6 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.

• exposure measurement
• naturalistic crash near crash
• older drivers
• passenger effects
• mci dementia driving
• 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
• Methodological Resource: dataset resource, validation psychometrics