Modeling human-vehicle interactions requires an understanding of the human behavior. The model development needs to capture human’s interaction with their surroundings to better inform the algorithms for advanced driver assistance systems (ADAS). A challenge in model development is the ability to accurately predict human behavior, particularly in complex environments that include other human road users, such as pedestrians and bicyclists.
Agents, environments, and scenarios provide the key indicators for quantifying human-vehicle interaction. A framework is presented to better quantify and predict interactive human-vehicle decision-making.

The Departmental Seminar Series is open to all. U-M Industrial and Operations Engineering graduate students and faculty are especially encouraged to attend. A reception will be held afterwards in the IOE Commons from 4-5pm.

Presenter Bio:
Linda Ng Boyle is Professor in Industrial & Systems Engineering at the University of Washington, Seattle. She has a joint appointment in Civil & Environmental Engineering. She has degrees from the University of Buffalo and University of Washington. She is a member of the National Academies Board of Human System Integration and co-author of the textbook, “Designing for People: An Introduction to Human Factors Engineering”.