State of Knowledge on Older Drivers

Freed, Sara A; Staplin, Loren; Sprague, Briana N; Ross, Lesley · 2024 · ROSA P / United States. Department of Transportation. National Highway Traffic Safety Administration

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Summary

This report presents a systematic literature review assessing the current state of knowledge regarding older driver safety and performance, focusing on research published between 2000 and 2020. Motivated by the growing proportion of licensed drivers aged 65 and older in the United States, the study aims to synthesize evidence on crash trends, risk factors, medical influences, and intervention strategies. The authors conducted database searches across PsycINFO, PubMed, SafetyLit, and TRID, applying strict inclusion criteria to identify peer-reviewed articles reporting safety or performance outcomes for drivers aged 65+. After screening 42,755 citations, 225 eligible articles were included in the final review. The study also incorporated a quantitative meta-analysis to evaluate the strength of associations between functional abilities and driving performance. The review found that while older-driver fatal crash rates in the United States have declined over the past two decades, they remain comparable to those of young drivers and higher than those of middle-aged drivers. Older-driver crashes are distinct in their circumstances, occurring more frequently during the daytime, in clear weather, and at intersections. The meta-analysis revealed that cognitive function, specifically speed of processing and attention, is the strongest predictor of on-road driving performance, followed by vision and physical function. Regarding health factors, the review identified significant associations between crash risk and the use of benzodiazepines, selective serotonin reuptake inhibitors, and Z-drugs. Untreated eye disease and Alzheimer’s disease were also linked to increased crash risk and impaired performance, whereas evidence for conditions like arthritis and diabetes was mixed. The report further evaluated strategies for improving older driver safety. It found that certain skills-based interventions, including simulator, on-road, and cognitive training, showed evidence of improving driving performance, though few studies measured real-world safety outcomes. Self-imposed driving restrictions, such as avoiding night driving, are common but their safety benefits remain unclear. Licensing restriction programs showed some promise but are underutilized and insufficiently studied. Additionally, the impact of advanced driver assistance systems and automated vehicle technologies on older driver safety has not been sufficiently evaluated to draw reliable conclusions. The authors conclude that while functional declines and specific medical conditions pose risks, age alone is not a definitive indicator of driving ability, and further research is needed to validate emerging technologies and behavioral interventions.

Key finding

Cognitive measures, specifically speed of processing and attention, are the strongest predictors of driving safety and performance among older drivers, with crash rates declining over time but remaining comparable to young drivers.

Methodology

review

Sample size: 225

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).

StageOutcomeToolModelPromptAttemptsCompleted
discover success rosap 2 2026-05-23
archive success 1 2026-05-23
extract success cached 2 2026-06-10
clean success 1 2026-06-01
chunk success 1 2026-06-01
embed success 1 2026-06-02
enrich success 1 2026-05-23
promote success 1 2026-05-23
summarize success llm qwen3.6-27b-prismaquant summ-v5 3 2026-06-10
tag success vector_similarity 19 2026-06-11
verify success 2 2026-06-10

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

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