Educating Older Drivers to Improve Acceptance and Utilization of CAV Technologies
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Summary
This study addresses the growing safety risks faced by older drivers, who experience declining perceptual and motor abilities that increase crash vulnerability. While Connected and Automated Vehicle (CAV) technologies offer significant safety benefits, older drivers often fail to utilize these features due to limited awareness and acceptance. The research aimed to design, implement, and evaluate an educational intervention to improve older drivers’ knowledge of CAV safety features, thereby enhancing their adoption rates and overall mobility. The researchers conducted a 13-month project in northeast Ohio, partnering with senior activity centers to deliver on-site training sessions. The intervention focused on 29 specific vehicle safety features categorized into eight groups, such as collision prevention, lane assistance, and parking aids. Participants completed "Before" and "After" surveys to assess their familiarity, understanding, and willingness to use these features. The survey instrument underwent three iterations to optimize response rates; the final version grouped features to reduce length, achieving a 94.3% response rate. The study population consisted primarily of adults over 70 (72%) and females (77%), with many driving vehicles manufactured after 2014. Statistical analysis, including chi-square tests and paired-samples t-tests, evaluated the impact of the education program. The results indicated that the intervention significantly improved participants' willingness to use or try various safety features. Specifically, the proportion of respondents who were unfamiliar with features or unwilling to use them decreased, while those who planned to use or already used the features increased across all categories, including collision mitigation, speed control, and lane assistance. Gender was identified as the only demographic variable significantly related to changes in attitude toward vehicle technologies. Common barriers to adoption cited by participants included lack of knowledge on how to activate features, concerns about distraction, and skepticism regarding feature reliability. The findings demonstrate that targeted education effectively increases older drivers' acceptance of CAV technologies. This suggests that transportation agencies and vehicle manufacturers should prioritize user-friendly educational programs to bridge the knowledge gap. By improving older drivers' utilization of safety features, such interventions can enhance road safety, reduce crash rates among vulnerable populations, and promote equitable access to advanced transportation technologies. The study provides actionable insights for policymakers and practitioners to develop adaptive technologies and training strategies that meet the specific needs of aging drivers.
Key finding
An educational intervention significantly increased older drivers' willingness to use and accept various CAV safety features, as demonstrated by statistically significant improvements in survey responses before and after the training sessions.
Methodology
field_study
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.
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- Empirical Findings: observational prevalence, self report data
- Methodological Resource: tool software