Skip to main content

City of Toronto to use traffic data to get Toronto moving

The City of Toronto is investing in the power of data to help understand how, where and when people travel and how the City can use this information to better assist the public in moving around Toronto. The city is creating a Big Data Innovation Team which will build on some of the current big data work of Transportation Services, including: developing a Big Travel Data strategy for Transportation Services to determine ways to make this type of information available; partnering with McMaster University
April 9, 2015 Read time: 2 mins
The City of Toronto is investing in the power of data to help understand how, where and when people travel and how the City can use this information to better assist the public in moving around Toronto.

The city is creating a Big Data Innovation Team which will build on some of the current big data work of Transportation Services, including: developing a Big Travel Data strategy for Transportation Services to determine ways to make this type of information available; partnering with McMaster University to analyse historical travel data on city expressways and streets; working with the TTC to closely analyse surface transit data to identify operational improvements to further improve streetcar service; and releasing a report from the Cycling Unit of Transportation Services evaluating cycling travel patterns based on data collected from its cycling tracking app, showing the impacts of Cycletracks.

Mayor John Tory says the availability of travel data has improved dramatically over the past few years and is at a point where the City can, and should, be using it to better understand travel patterns, evaluate the City’s investments and monitor performance. “With this information, we can get Toronto moving smarter," he said. "This will be a game changer and will establish Toronto as a leader in running a truly smart city."

Related Content

  • Costing transit is complicated case
    August 19, 2015
    David Crawford welcomes fresh thinking from Canada. Public transit improvements can bring society “significantly more value” than conventional transport models normally indicate, argues Canadian researcher Todd Litman. “Traditional evaluation practices originally developed to assess roadway improvements, and focus primarily on vehicle travel speeds and operating costs. “They do not generally quantify or monetise basic mobility benefits, vehicle ownership and parking cost savings, or efficient land developme
  • After two decades of research, ITS is getting into its stride
    June 4, 2015
    Colin Sowman gets the global view on how ITS has shaped the way we travel today and what will shape the way we travel tomorrow. Over the past two decades the scope and spread of intelligent transport systems has grown and diversified to encompass all modes of travel while at the same time integrating and consolidating. Two decades ago the idea of detecting cyclists or pedestrians may have been considered impossible and why would you want to do that anyway? Today cyclists can account for a significant propor
  • Travel data critical to traffic management, traveller information
    January 31, 2012
    The ability to bundle together travel data from several discrete sources and fuse it to give a more comprehensive overview of events to stakeholders is the key aim of Viajeo, which is conducting trials in several cities around the world. Here, Ertico's Yanying Li writes about the project in more detail
  • Key to EV roll-out is understanding drivers
    October 22, 2021
    Understanding EV technology and driver behaviour will be key to building out the world’s charging infrastructure. Andrew Stone finds out why from Bret Scott at Wejo