Neural Correlates of Older Driver Performance
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Summary
This report addresses the growing safety concerns associated with older drivers (aged 65 and older), the fastest-growing demographic in the United States. While driving provides essential autonomy for seniors, age-related declines in visual, physical, and cognitive functions increase crash risk, particularly during complex maneuvers like merging and navigating intersections. The study aims to summarize existing literature on functional impairments in older drivers, evaluate the use of neuropsychological tests for screening, and assess the feasibility of using functional magnetic resonance imaging (fMRI) combined with driving simulators to identify neural correlates of driving performance. The ultimate goal is to establish a foundation for developing streamlined screening tools to distinguish high-risk drivers from safe ones. The authors conducted a comprehensive literature review covering general demographics, functional impairments, driving simulator studies, and neurophysiological testing. They analyzed data on crash rates, noting that while older drivers have lower total crash counts than younger drivers, their crash rate per vehicle mile traveled is comparable to inexperienced youth and increases significantly after age 75. The review examined the efficacy of various screening methods, contrasting traditional visual-sensory tests (visual acuity, field, contrast sensitivity) with higher-order visual-cognitive tasks, such as the Useful Field of View (UFOV) test. Additionally, the report evaluated studies utilizing driving simulators to validate off-road assessments against on-road performance and reviewed neuroimaging studies that investigate brain activity during simulated driving tasks. Key findings indicate that traditional visual-sensory tests are poor predictors of crash involvement, whereas visual-cognitive measures, particularly processing speed and selective attention, are strong predictors. A reduction in UFOV and deficits in visual search and spatial memory correlate significantly with unsafe driving and crash history. Driving simulators were found to be valid, economical tools for assessing older driver performance, showing moderate to high correlation with on-road assessments. Simulator data revealed that performance declines with age, with specific deficits in working memory, judgment under time pressure, and divided attention tasks strongly linked to crash risk. Furthermore, cognitive training, specifically for speed of processing, was shown to improve UFOV scores and reduce at-fault crashes over a six-year period. The significance of this work lies in its identification of a research gap regarding the integration of neuropsychological tests and fMRI in driving simulations. The report concludes that while neuropsychological tests provide valuable screening data, combining them with neuroimaging could offer deeper insights into the neural mechanisms of driving performance. This approach supports the development of quick, effective screening tools to identify dangerous drivers before they cause accidents. By validating simulator-based assessments and highlighting the predictive power of cognitive over sensory metrics, the study provides a roadmap for future research aimed at enhancing road safety for the aging population through targeted screening and cognitive interventions.
Key finding
Visual attention deficits, specifically reduced useful field of view, are identified as the most effective predictors of crash involvement in older drivers compared to standard visual-sensory tests.
Methodology
review
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).
| Stage | Outcome | Tool | Model | Prompt | Attempts | Completed |
|---|---|---|---|---|---|---|
| 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.
Topics
Ranked by relevance to this paper. Hover a topic for its definition.
- mci dementia driving
- cognitive capacity variation
- cognitive impairment
- useful field of view
- age related perceptual decline
- older drivers
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: behavioral performance data
- Methodological Resource: validation psychometrics
- Theoretical Contribution: computational model