For drivers with Parkinson's Disease (PD), autonomous in-vehicle technologies may help mitigate functional deficits, improve driving performance, decrease driving errors and enhance their ability to stay on the road. Using a pretest/posttest design the investigators will quantify the use of In-vehicle Information Systems (IVIS) and Advanced Driver Assistance Systems (ADAS) during driving to illustrate how IVIS and ADAS may affect driving, and provide recommendations to drivers with PD, the clinical community and industry.
Study Type
INTERVENTIONAL
Allocation
NA
Purpose
SUPPORTIVE_CARE
Masking
NONE
Enrollment
112
All drives will include events to assess the impact of in-vehicle information systems (IVIS) and advanced driver assistance systems (ADAS) on the driving performance (driving errors) of drivers with PD. For IVIS the investigators will include options to assess errors with lane maintenance (with and without the lane departure warning system) and signaling (with and without blind spot detection). For ADAS the investigators will include conditions to assess errors in speeding (with and without adaptive cruise control) and lane exceedances (with and without lane keeping assist).
UF Norman Fixel Institute for Neurological Diseases
Gainesville, Florida, United States
Total number of driving errors
The evaluator will record the total number of driving errors by number and type (i.e., speeding, lane maintenance, and signaling) on a standardized data collection form.
Time frame: 1 year up to study completion
Type and number of driving errors
Type of driving errors include: speeding, lane maintenance and signaling on-road recorded by the evaluator, or via vehicle recorded kinematics and telematics (e.g., in-vehicle GPS to record speed).
Time frame: 1 year up to study completion
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