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."

Urban Traffic Control

Related Content

  • Data goldmines offer rich pickings
    May 31, 2013
    Astronomical is not too grand a term to describe the current rate of growth in transportation-related data. Massive amounts of traffic related information, such as speed, volume, incidents and weather are being generated every second by road operators and users alike. Big data’ derives its name from the sheer amount and complexity of available raw data. Its potential value is starting to emerge among the intelligent transportation systems community. A gold rush is taking place to capture this value, with da
    Read More
  • Rekor: solving the data puzzle
    April 19, 2022
    AI can help transport agencies to deal with incidents on the road. Noam Maital of Rekor explains to Adam Hill how marrying up different types of data can be like putting together a 1,000-piece puzzle
    Read More
  • Emissions reductions targets to have major impact on transport
    October 28, 2015
    As bold moves aimed at reducing greenhouse gas emissions have been introduced in California, David Crawford looks at the ramifications for transportation. California Governor Jerry Brown’s recent dramatic raising of the bar on emissions reduction policy for the state has won him praise from Japan, Australia, Europe and the secretariat of the critical UN conference on climate change being held in Paris in November/December 2015. His April 2015 executive order aimed at bringing emissions to 40% below 1990 lev
    Read More
  • TRL answer key questions on urban traffic control
    March 21, 2014
    PC-based urban traffic control (UTC) continues to grow. Gavin Jackman, Head of Traffic and Software at TRL, looks forward. 1. PC-based urban traffic control is now very well established throughout the world. What have been the most significant developments or new features that have become available over the last two years? That’s a really interesting question because, from a software perspective, a few things are noticeable. Firstly, there are more players on the market – TRL’s Transyt Online, Imtech’s Imf
    Read More

Highlighted Content