Older Driver Intersection Negotiation Errors and Functional Test Predictors

A research project synthesizing background literature and observational field data on driving problems at intersections for drivers aged 61 and older. The field study involved 82 subjects who completed functional tests and on-road evaluations on familiar and unfamiliar routes, with driving behaviors recorded via in-vehicle cameras. Analysis identified visual search errors as predominant and examined relationships between functional test results and examiner-recorded error scores.

Use Cases

• Predicting on-road driving errors based on office-based functional test results like visual discrimination speed.
• Analyzing the frequency and type of intersection negotiation errors, such as scanning failures or unsafe lane changes.
• Comparing driving error patterns between familiar and unfamiliar routes to assess the impact of route knowledge.
• Modeling the relationship between physical capabilities (vision, attention, flexibility) and observed driving performance.

Strengths

• Field observations were conducted with 82 subjects, providing a substantive sample size.
• Data collection used multiple methods: functional test batteries, examiner observations, and in-vehicle video recording.
• Analysis quantified predictive relationships, with specific metrics like variance accounted for (up to 18%) reported.

Limitations

• Row count and column-level documentation are unknown, limiting suitability assessment.
• Last update date is unknown; freshness unverified.
• Data may reflect geographic bias inherent to the California DMV referral sample.

Provenance

Source

Research project referenced on paperswithcode; organization and author are unknown.

Collection Method

Literature synthesis and observational field study with functional tests and on-road driving evaluations.

Time Range

Temporal coverage is unknown.

Freshness

Last updated date is unknown.

Geography

Subjects were referred to the California Department of Motor Vehicles, suggesting a U.S., likely California, focus.