State of Knowledge on Older Drivers [Traffic Tech]

NHTSA · 2024 · ROSA P / United States. Department of Transportation. National Highway Traffic Safety Administration

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Summary

This report, published by the National Highway Traffic Safety Administration (NHTSA) in 2024, addresses the safety challenges associated with older drivers (aged 65 and older), who constitute 21% of U.S. licensed drivers. The study aims to synthesize research findings from 2000 to 2020 to support stakeholders, including licensing agencies and healthcare providers, in maintaining independent mobility while mitigating crash risks. The primary motivation is to understand how age-related functional declines and medical conditions impact driving performance and to evaluate the efficacy of behavioral countermeasures, screening methods, and interventions. The research team conducted a systematic literature review of peer-reviewed articles and reports from government and nonprofit organizations, searching four databases: PsycINFO, PubMed, SafetyLit, and TRID. After applying inclusion and exclusion criteria, 225 articles reporting safety or performance outcomes for drivers aged 65 and older were selected. The review supplemented this qualitative synthesis with a quantitative meta-analysis to determine the strength of relationships between functional abilities and driving measures. The study examined crash patterns, risk identification techniques, licensing assessments, medical conditions, medications, and behavior change strategies. Key findings indicate that while fatal crash rates for older drivers declined between 2000 and 2020, their overall crash rates remained elevated compared to middle-aged drivers, with rates for those in their 70s and older similar to young drivers. Older driver crashes predominantly occurred under ideal daytime, clear, and dry conditions. The meta-analysis identified cognition as the strongest predictor of driving safety and performance, followed by vision and physical function, though the latter two had lower confidence due to fewer studies. Simulator and self-report measures showed less validity as safety indicators. Regarding interventions, in-person license renewal requirements demonstrated safety benefits, whereas evidence for vision tests and shorter renewal cycles was less clear. Specific medical conditions, including untreated eye disease and Alzheimer’s, were associated with crash risk, as were certain medications like benzodiazepines and Z-drugs. Evidence for arthritis, diabetes, and glaucoma was mixed. The significance of this work lies in its comprehensive evaluation of strategies to extend safe driving years. While older drivers often self-impose driving restrictions, the safety benefits of these self-limitations remain unclear. Restricted licenses issued by states showed some evidence of safety benefits but require further study. Skills training, including simulator and cognitive training, demonstrated performance benefits, though few studies assessed actual safety outcomes. Emerging automated vehicle technologies, such as adaptive cruise control, lack sufficient evidence for safety benefits, though momentary assistance systems like blind spot warnings showed limited utility. The report concludes that while cognition is a critical factor in older driver safety, more research is needed to validate the effectiveness of various interventions and technologies.

Key finding

Cognitive ability is the strongest predictor of driving safety and performance in older drivers, while fatal crash rates have declined despite persistently elevated overall crash rates compared to middle-aged 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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