Posts Tagged: Matthew Roorda
The iCity-Centre for Automated and Transformative Transportation Systems (iCity-CATTS) welcomed two of its public sector partners, the City of Toronto and York Region, to a partners’ progress meeting on March […]
Researchers have released a report detailing the pilot project “Off-Peak Delivery Program in the Region of Peel” and their conclusions. The complete final report is available on the Smart Freight […]
UTTRI associated faculty Professor Merve Bodur, of the Mechanical and Industrial Engineering department, gave a lecture on “Model Optimization Problems via Stochastic Programming” as a part of the UT-ITE seminar […]
The Smart Freight Symposium on sustainable urban and regional freight innovation was held November 4, 2019 at the University of Toronto Faculty Club. The one-day event featured two keynotes and […]
UTTRI associated faculty Professor Matthew Roorda talks about improving the efficiency of freight transport in “Double-trailer trucks could soon be driving during GTA rush hour.” The CBC article discusses the […]
A new paper based on MASc thesis research by Christos Stogios at the University of Toronto has been published in Transportation Research Part D: Transport and Environment, Vol. 76, Nov. 2019, […]
U of T Professor Matthew Roorda and Janelle Lee, Analyst, Transportation and Urban Solutions at the Pembina Institute, presented a fascinating seminar July 25 for the Cities By Design: The Future of Urban […]
Congratulations to PhD Candidate Sina Bahrami and Professor Matthew Roorda on the Runner-Up to Best Conference Paper award at the recent Canadian Transportation Research Forum (CTRF) conference for “Optimal Operations […]
The demand for goods transportation continues to rise, leading to increased traffic congestion across the GTHA. The newly launched Smart Freight Centre looks to find solutions. Leading experts from the […]
Congratulations to alumnus Bradley Kloostra (BASc 2016), whose undergraduate thesis work at University of Toronto formed the basis for his recently published paper Fully autonomous vehicles: analyzing transportation network performance […]
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