UFTI and City of Gainesville Collaborate on Newly-Funded NSF Smart Cities Project
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The goal of this project is to enable cities and communities to deploy technology that saves lives through safer transportation systems. Video data will be gathered through edge-based real-time machine learning (ML) techniques and videostream processing from intersections and public vehicles. By understanding the risk profile of an intersection through automated detection of near miss events, communities will be able to proactively design and alter streets and intersections to be safer. Dr. Sanjay Ranka, UF Department of Computer & Information Science & Engineering, will serve as the lead principal investigator. Other researchers involved on the project include Dr. Siva Srinivasan and Dr. Lily Elefteriadou (UF Department of Civil and Environmental Engineering), Dr. Anand Rangarajan (UF Department of Computer & Information Science & Engineering), and Daniel Hoffman and Emmanuel Posadas (City of Gainesville).
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Occupational Therapy Researchers Determine Impact of In-Vehicle Information Systems or Advanced Driving Assistance Systems on Older Drivers
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Researchers in the UF Department of Occupational Therapy, led by Dr. Sherrilene Classen, recently published, “Smart In-Vehicle Technologies and Older Drivers: A Scoping Review” in the American Journal of Occupational Therapy's Special Issue on Robotics, AI, and Automation. The researchers determined the impact, specifically convenience, comfort, and safety, of In-vehicle Information Systems or Advanced Driving Assistance Systems on the driving task among older drivers. Twenty-eight studies were synopsized, including those using driving simulators and on-road environments. Findings indicate safety and comfort of older drivers may be enhanced with the use of in-vehicle technologies, if an individual’s cognitive workload is not compromised. For example, in-vehicle technologies enhanced safety and comfort by increasing speed control, lane maintenance, and braking responses.
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From left to right: Mary Jeghers, Dr. Linda Struckmeyer, Dr. Sandra Winter, Dr. Sherrilene Classen.
Not pictured: Jane Morgan-Daniel, Dr. Luther King
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New Fitness-to-Drive Screening Measure Short Form May Reduce Administration Time and Provide Acceptable Psychometric Properties
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The
Fitness-to-Drive Screening Measure is a free screening tool, available online for caregivers and family members of older drivers, including occupational therapy practitioners that detects and rates a driver’s difficulties in performing tasks. The initial study funded by the Center for Multimodal Solutions for Congestion Mitigation (CMS), which was the UFTI’s 2007 USDOT grant-funded, Tier-1 University Transportation Center, produced 54 questions, which took 20 minutes to complete making it less practical for clinical use. This study aimed to shorten the existing 54-item Fitness-to-Drive Screening Measure (FTDS) without sacrificing the tool’s validity. Twenty-one items were selected for the short form from the original 54 items. Reducing the 54-item FTDS using mixed methods shortened the tool and completion time without forfeiting this screening tool’s ability to accurately predict older driver’s pass or fail outcomes. Dr. Sherrilene Classen, Dr. Sergio Romero, Dr. Mi Jung Lee and Ms. Shabnam Medhizadah from the Department of Occupational Therapy at UF published the article “Construction and Validation of the 21 Item Fitness-to-Drive Screening Measure Short-Form” in Frontiers: Public Health.
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I-STREET Webinar Series: Implementing Advanced Transportation Technologies Through a Multi-Modal Real-World Testbed
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Wednesday, May 15, 2019
2:30 pm - 3:30 pm
In the first webinar of the series, Dr. Clark Letter will provide an overview of I-STREET, the partnership between the University of Florida (UF), the Florida Department of Transportation (FDOT), and the City of Gainesville (CoG) and the research projects currently being conducted. I-STREET aims to develop, implement, test, and refine advanced transportation technologies (such as autonomous and connected vehicles and adaptive signal control) to improve mobility and safety for our region and beyond. I-STREET researchers aim to reduce traffic congestion and improve the safety of road users through the deployment of advanced transportation technologies on Gainesville roadways.
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This webinar is hosted as part of the STRIDE Center’s Technology Transfer program. The STRIDE Center is the USDOT’s 2016 Regional (Southeast) University Transportation Center housed at the UFTI. STRIDE is a consortium of 10 universities in the Southeast, led by UF, focusing on Alleviating/Reducing Congestion.
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