Promoting Inclusive Design/Deployment of AVs for Older Adults | Research | 2023 CCAT Symposium

Note: some footage was lost due to technical difficulties. We apologize for the inconvenience. The development of connected and automated vehicles (CAVs) holds promise for reducing traffic crashes and maintaining mobility among older adults. However, challenges remain in ensuring that CAVs are accessible, acceptable, and otherwise inclusive for older adults. This presentation focuses on a classroom project intended to build awareness of and sensitivity to older adults’ needs and preferences relative to CAVs that was implemented in a human-centered design course for graduate-level engineering students at the University of Michigan, Dearborn. This presentation also discusses the results of an education study on older drivers about connected and automated vehicle technologies. This study involves presentations of Level 2 and Level 3 CAV features in the existing vehicle models to older drivers participating in the in-person training sessions, and data analyses from the before and after training surveys to assess changes in the awareness, understanding, and acceptance of the new vehicle safety features. -- Follow us! Flickr: https://www.flickr.com/photos/UMichCCAT LinkedIn: https://linkedin.com/company/UMichCCAT Twitter: https://twitter.com/UMichCCAT YouTube: https://youtube.com/@UMichCCAT Bluesky: https://bsky.app/profile/umichccat.bsky.social Mailing List: http://myumi.ch/BoDw8 Get notified about future events: https://www.eventbrite.com/o/center-for-connected-and-automated-transportation-17906018836 -- About the speakers: Lisa Molnar: Dr. Molnar’s research has focused primarily on traffic safety and driver behavior. Specific topics of interest include older driver safety and mobility; the use of vehicle technology to improve driver safety; behavioral effects and safety outcomes associated with traffic laws, policies, and programs; adolescent driving behavior; prevention of alcohol-impaired driving; and use and misuse of safety belts and child safety seats. In the area of older driver safety and mobility, she had led or currently leads projects on better understanding how changes in cognitive, perceptual, and psychomotor abilities can affect driving behavior and what can be done to maintain safe driving. She also recently led a project examining age differences in the transfer of control between manual and automated driving in an automated vehicle. Ping Yi: Dr. Yi’s research is mainly focused on traffic control and safety, sensor and information technologies, and system reliability and statistical data modeling. Prior to joining UA, Ping had worked for the Minnesota DOT as a project manager over sensors testing, adaptive signals, advanced parking, and incident/special event management. In recent years Ping has been actively involved in research concerning safe operation of autonomous vehicles and their interactions in built environment with conventional vehicles.