Congestion is an $11 billion-a-year problem in Toronto and it’s my key priority as Chair of the Public Works and Infrastructure Committee.
Earlier this year, I directed city transportation staff to explore how we can use big data to understand, evaluate and reduce congestion and gridlock.
Big data focuses on using advanced analytics to mine and make use of massive amounts of information from different sources, such as GPS locational data, traffic cameras as well as Bluetooth and wifi information – to name a few.
In October 2015, I helped kick off the city’s first ever Hackathon. Cosponsored by Evergreen CityWorks, the event brought together more than 150 talented individuals from across disciplinary lines and gave them 48 hours to jump start solutions to gridlock using a variety of different data sources.
Click here for more information about the Hackathon and the winning ideas.