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| ID | Type | Description | Link |
|---|---|---|---|
| 90IFRE0035-03-00 | Other Grant/Funding Number | ADMIN FOR COMMUNITY LIVING |
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| Name | Class |
|---|---|
| National Institute on Disability, Independent Living, and Rehabilitation Research | FED |
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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.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| PD Drivers Using AV Technologies On-road | Experimental | Each driver will drive on-road, everybody will be exposed to two drives (Drive 1, Drive 2) one drive with and the other without in-vehicle technology. The order of technology (with vs. without IVIS or ADAS) and the order of the routes (Drive 1 vs. Drive 2) will be randomly allocated to control for order effects. |
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| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| PD Drivers Using AV Technologies On-road | Other | 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). |
| Measure | Description | Time Frame |
|---|---|---|
| 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. | 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). | 1 year up to study completion |
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Inclusion Criteria:
Exclusion Criteria:
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| Name | Affiliation | Role |
|---|---|---|
| Sherrilene Classen, PhD | University of Florida | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| UF Norman Fixel Institute for Neurological Diseases | Gainesville | Florida | 32608 | United States |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 39263869 | Derived | Classen S, Giang WCW, Rajkhan A, Zheng H, Gibson B, Patel B, Winter S, Jeghers M, Li Y, Ramirez-Zamora A. A Randomized Controlled Trial on Automated Vehicle Technologies for Drivers With Parkinson's Disease. OTJR (Thorofare N J). 2025 Apr;45(2):219-231. doi: 10.1177/15394492241271115. Epub 2024 Sep 12. | |
| 35812823 | Derived |
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| ID | Term |
|---|---|
| D010300 | Parkinson Disease |
| ID | Term |
|---|---|
| D020734 | Parkinsonian Disorders |
| D001480 | Basal Ganglia Diseases |
| D001927 | Brain Diseases |
| D002493 | Central Nervous System Diseases |
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| Classen S, Li Y, Giang W, Winter S, Wei J, Patel B, Jeghers M, Gibson B, Rogers J, Ramirez-Zamora A. RCT protocol for driving performance in people with Parkinson's using autonomous in-vehicle technologies. Contemp Clin Trials Commun. 2022 Jun 28;28:100954. doi: 10.1016/j.conctc.2022.100954. eCollection 2022 Aug. |
| D009422 | Nervous System Diseases |
| D009069 | Movement Disorders |
| D000080874 | Synucleinopathies |
| D019636 | Neurodegenerative Diseases |