A simulator for objectively evaluating prospective drivers of the Scott van

Area of Science:

• Rehabilitation Engineering
• Human Factors Engineering
• Automotive Safety

Background:

• Evaluating the driving capabilities of individuals with severe physical impairments presents unique challenges.
• Traditional driving assessments may not adequately capture the specific needs and abilities of this population.
• The Scott van, a specialized uni-lever servo-controlled vehicle, is designed for severely impaired drivers.

Purpose of the Study:

• To develop and evaluate a simple simulator for assessing the physical capabilities of severely handicapped prospective drivers.
• To determine if simulator performance correlates with actual driving performance in a specialized vehicle.
• To provide objective and quantitative data for evaluating driver suitability in this population.

Main Methods:

• A two-dimensional tracking task was designed for the simulator, utilizing the driving controls of the Scott van.
• Able-bodied subjects (n=25) were tested on the simulator, with a subset (n=13) undergoing driving tests in the van.
• Severely disabled subjects (n=9) were tested on both the simulator and in the van.
• Performance metrics included simulator Root Mean Square (RMS) tracking error and traffic cones knocked down during driving tests.
• Scores were converted to T-scores to standardize and compare performances against able-bodied subjects.

Main Results:

• Simulator T-scores for handicapped subjects revealed significant variations in tracking abilities, linked to their functional capabilities.
• A strong positive correlation was observed between the handicapped subjects' simulator T-scores and their driving performance T-scores.
• The simulator effectively captured the range of tracking abilities within the severely handicapped group.

Conclusions:

• The developed simulator is a valuable tool for objectively evaluating the physical capabilities of severely handicapped prospective drivers.
• Simulator performance, particularly T-scores, shows strong predictive validity for actual driving performance in specialized vehicles.
• This technology can aid in making informed decisions regarding driver suitability and potential adaptations for impaired individuals.