Skip to main content

Unlocking Toronto’s gridlock

A project by University of Toronto professor of civil engineering Professor Baher Abdulhai marries cameras with computers to create traffic lights that can measure vehicle flow, understand what it means, and adapt signal patterns to reduce gridlock. “We want the traffic light to learn from experience,” explained Prof. Abdulhai, who is principal investigator on the University of Toronto project, dubbed Marlin, and an expert in intelligent transportation systems (ITS). “In the Toronto experiment we cut down d
March 26, 2013 Read time: 2 mins
A project by University of Toronto professor of civil engineering Professor Baher Abdulhai marries cameras with computers to create traffic lights that can measure vehicle flow, understand what it means, and adapt signal patterns to reduce gridlock.

“We want the traffic light to learn from experience,” explained Prof. Abdulhai, who is principal investigator on the University of Toronto project, dubbed Marlin, and an expert in intelligent transportation systems (ITS).

“In the Toronto experiment we cut down delays by forty per cent, on average.”

This work is part of a broader recognition that something has to be done about gridlock that threatens to paralyse the city. Congestion causes drivers some of the worst commute times in North America and, according to the Toronto Region Board of Trade estimate, is costing the economy US$5.8 billion annually.

The search for solutions has been part of a series of public discussions by transit organisation 6394 Metrolinx, which is seeking ideas on how to fund the next generation of transit expansion.

“Some congestion is a sign of vibrancy,” says Prof. Abdulhai in the draft of an upcoming report for the Residential and Civil Construction Alliance of Ontario, “but too much congestion has many negative consequences. The good news is that there are plenty of approaches to address congestion, traditional and non-traditional, technical and non-technical.”

For more information on companies in this article

Related Content

  • Trust AI – it knows more than we do
    January 14, 2020
    There’s no shortage of data – but making the most of it is the problem. Andrew Bunn examines how AI will be able to support and influence the development of advanced transportation strategies
  • Sidewalk Toronto decision delayed to June
    April 27, 2020
    Covid crisis pushes back a decision on Toronto waterfront smart city plan
  • Turnkey projects deliver enforcement for developing countries
    January 25, 2012
    Jenoptik Robot’s Ralf Schmitz talks about enforcement deployments in developing countries, and how those with long-established histories still have much to learn. In the enforcement sector, the concept of technology provider also being responsible for operations is hardly a new one. Nevertheless, it has gained significant traction over the last five or six years and has the potential to radically change the complexion of the industry according to Jenoptik Robot’s Director, Sales Ralf Schmitz.
  • Managed lanes – the riddle wrapped up in an enigma
    December 15, 2014
    Managed lanes have something of a patchy track record and can pose authorities problems as well as solutions. Many authorities in the US and beyond have converted, or are converting, parts of the highway network into ‘Managed Lanes’ and charging motorists a fee to avoid the delays on the adjoining free use lanes. Some authorities have converted underused High Occupancy Vehicle (HOV) lanes into priced-managed high occupancy/toll lanes (HOT lanes) whereby the price charged can vary depending on a number of fa