Events

Modeling pedestrian-vehicle interactions requires an understanding of the human behavior.  The model needs to capture the human interaction with their surroundings to better inform the algorithms for advanced vehicle systems. 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. 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.

Professor Linda Ng Boyle is Vice Dean for Research and a Professor in Civil and Urban Engineering at New York University. She has degrees from the University of Buffalo and University of Washington.  She is a Fellow of the Institute of Industrial and Systems Engineering (IISE) and the Human Factors and Ergonomics Society (HFES).  She is also 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”.