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Related Experiment Video

Updated: May 28, 2026

Driving Simulation in the Clinic: Testing Visual Exploratory Behavior in Daily Life Activities in Patients with Visual Field Defects

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Published on: September 18, 2012

On-road and simulated driving: concurrent and discriminant validation.

Daniel R Mayhew¹, Herb M Simpson, Katherine M Wood

¹Traffic Injury Research Foundation, Ottawa, Ontario, Canada.

Journal of Safety Research

|October 25, 2011

Summary

This summary is machine-generated.

This study validates a driving simulator for measuring driving performance. Results show it accurately reflects real-world driving skills, supporting its use in research and driver education evaluation.

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Area of Science:

Human Factors
Transportation Safety
Psychology

Background:

Assessing driving performance is crucial for safety and training.
Driving simulators offer a controlled environment for performance evaluation.
Previous research has explored simulator validity with mixed results.

Purpose of the Study:

To investigate the concurrent and discriminant validity of a driving simulator for measuring driving performance and skill.
To compare on-road driving performance with simulated driving performance in novice drivers.
To differentiate driving performance across various experience levels using the simulator.

Main Methods:

Concurrent validity study: Compared novice drivers' on-road performance with their simulator performance.
Discriminant validity study: Compared simulator performance across three groups: beginners, novices, and experienced drivers.
Statistical analysis of driving errors and performance metrics.

Main Results:

A reasonable concordance was found between on-road and simulator driving errors, supporting relative validity.
Significant differences in driving errors were observed across experience groups on the simulator, as expected.
Absolute validity was not established due to a lack of close correlation in specific error types.

Conclusions:

The driving simulator is a valid tool for measuring driving performance in research settings.
Simulator data supports the evaluation of driver education and training programs.
Further research is recommended to refine simulator validity and its application in driver assessment.