Nancy Hui: Identifying Multimodal Conflicts with Machine Learning

Computer lab

Professor Matt Roorda introduces Nancy Hui (photo: T. Romancyshyn)

On July 14, 2017, Nancy Hui presented her MASc thesis and discussed the results of her study exploring the use of machine learning to automatically recognize dangerous events on streets with pedestrians, bicycles, and motorized vehicles. Nancy’s talk was well attended and a lively Q & A followed her presentation.

speaker at podium

Nancy Hui answers questions

Nancy has kindly shared an abstract as well as a PDF of her presentation file:

Group shot

Nancy with her co-supervisors after the presentation (L-R) Prof. Eric Miller, Nancy Hui, Prof. Matt Roorda

 


Nancy Hui is a Master’s student in Civil Engineering at the University of Toronto. She previously graduated from the University of Waterloo in 2015. Nancy has a diverse range of experiences in multimodal facility design and evaluation. During her undergraduate degree she held several co-op positions in transportation engineering, including at BA Consulting Group Ltd., the Region of Waterloo’s Rapid Transit Division, and the City of Toronto’s ITS Operations unit. Her MASc research focuses on Complete Streets design and evaluation, and conflict (near-miss) identification on urban streets with machine learning.

This seminar was presented by the University of Toronto Institute of Transportation Engineers (ITE) Student Chapter.