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Toyota Speaker Series: Matthew Rizzo, M.D.

March 13, 2014 - 3:00pm

The University of Michigan Transportation Research Institute and Toyota invite you to attend "Leadership in Transportation: New Perspectives on Safe and Sustainable Transportation," a series of informative and engaging conversations with leaders in transportation.

Matthew Rizzo, M.D. 
Thursday, March 13, 2014, 3:00PM 
A. Alfred Taubman Biomedical Science Research Building
109 Zina Pitcher Place
Reception immediately following in the Atrium

Matthew Rizzo, M.D. of the University of Iowa is a professor in the Department of Neurology in the University of Iowa Carver College of Medicine. He is director of the Division of Neuroergonomics and is a senior member of the Division of Behavioral Neurology and Cognitive Neuroscience. Dr. Rizzo also holds University of Iowa appointments in the Department of Mechanical and Industrial Engineering, Public Policy Center, Iowa Injury Prevention Research Center, and in the Neurosciences Program. Dr. Rizzo’s research focuses on cognitive impairments caused by aging and neurological diseases such as stroke, Alzheimer’s disease and traumatic brain injury. He has a special interest in vision and cognition, including their role in real-world tasks. The latter research uses an interactive driving simulator and an instrumented vehicle. 

Driving Simulation and Medical Disorders: Results using cognitive tests, instrumented vehicles and driving simulators can help specify linkages between decline in key cognitive domains and crash risk. By understanding patterns of driver safety errors that cause crashes, it may be possible to design interventions (e.g., driver performance monitoring devices and collision warning systems) that will reduce these errors. Simulators can be deployed in clinical trials to evaluate in-vehicle devices before they are deployed on the road and to train drivers with medical disorders in the aftermath of an illness in order to prepare them for potential return to driving.  Results of simulator studies can help standardize assessment of fitness-to-drive in persons with medical impairments. Predictions of driver safety and crash risk from driving simulator outcome measures depend on understanding the intervening patterns of real world exposure, restriction and other complex factors.