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UTTRI Update, February 25, 2021
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Sanner: Novel method improves AI learning capability by 40%

head shot of Scott SannerThe Korea Herald today reported on the first AI achievement by LG, a South Korean multinational electronics company.

UTTRI associated faculty Professor Scott Sanner leads a team which has “improved the [AI] learning capability by 40 percent by applying the Shapley value – a measure for importance of data – for the first time in the field.”

Read more about this AI research and link to the news article and the relevant research paper.

Toronto air quality improved 2006-2019: SOCAAR

smoggy Toronto skyline
Photo by Evan Simons on Unsplash

In a recently published study, researchers at SOCAAR, the Southern Ontario Centre for Atmospheric Aerosol Research, have found that policies to reduce emissions have yielded co-benefits in terms of reductions of ultrafine particles (UFP) in downtown Toronto. This improvement in air quality was associated with reduced emissions from vehicles and coal-based electricity generation.

The researchers made measurements continuously near a busy roadway in downtown Toronto between 2006 and 2019. 

Read more about SOCAAR's long-term air quality study and link to the full research paper.

Donmez leads driver attention study

head shot of Dr. Birsen Donmezhead shot of Joelle GirgisUTTRI associated faculty Professor Birsen Donmez (left) leads an interdisciplinary research team that is collaborating with the City of Guelph to evaluate driver attention and gaze towards pedestrians and cyclists at intersections. Joelle Girgis (right), a second-year master’s student in Donmez’s lab, will be leading the data collection and analysis.

Funded by the Social Sciences and Humanities Research Council of Canada’s Partnership Engage Grants program, the study will see Donmez team up with Professor Jay Pratt of the department of psychology in the Faculty of Arts & Science, UTTRI associated faculty Associate Professor Paul Hess of the department of geography and planning in the Faculty of Arts & Science and Liraz Fridman, transportation safety specialist with the City of Guelph and adjunct professor in U of T’s department of mechanical and industrial engineering.

Read more about this research project in "U of T driver attention study could help cities turn the corner on road safety," U of T News, February 22, 2021.

Toronto’s COVID-19 bike lane expansion boosted access to jobs, retail: U of T study

head shots of Bo Lin, Dr. Shoshanna Saxe, Dr. Timothy Chan
(L-R) PhD student Bo Lin, Professor Shoshanna Saxe and Professor Timothy Chan

The City of Toronto undertook the largest one-year expansion of its cycling network in 2020, adding about 25 kilometres of temporary bikeways.

PhD student Bo Lin and UTTRI associated faculty Professors Shoshanna Saxe and Timothy Chan used census, city and survey data to map Toronto’s entire cycling network – including the new routes – and found that additional bike infrastructure increased low-stress road access to jobs and food stores by between 10 and 20 per cent, while boosting access to parks by an average of 6.3 per cent.

Read more about this study of Toronto bike lanes and link to the full research paper.

Liu: Optimizing to improve food delivery and bike lane network design

head shot of Dr. Sheng LiuDr. Sheng Liu, Assistant Professor of Operations Management and Statistics at the Rotman School of Management, presented “Data-Driven Approaches in Smart City Operations” on February 19, 2021.

In his UT-ITE seminar, Liu discussed two projects around data-driven solutions for city operations planning and management. One project dealt with improving performance of a food delivery service, and the second one looked at optimizing the design of urban bike lane networks.

Read more about this smart city research and link to Liu's working papers on food delivery operations and bike lane network design.

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Disclaimer: The information in this newsletter is true to the best of our knowledge at time of posting. All listings are made without guarantee on the part of UTTRI, and we disclaim any liability in connection with the use of this information.

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