Toronto opts for Iteris iPeMS performance management to analyse traffic data

Iteris has deployed its Iteris iPeMS performance management system in Toronto, Canada, enabling the city to automatically analyse and visualise real-time and historical traffic while measuring the impacts of changing weather, construction work and infrastructure on roadway mobility and safety. Iteris iPeMS, in combination with real-time and historical traffic data from mapping and location services provider Here, will provide the city with real-time, actionable insights to use to improve its transportation
May 12, 2017 Read time: 1 min
73 Iteris has deployed its Iteris iPeMS performance management system in Toronto, Canada, enabling the city to automatically analyse and visualise real-time and historical traffic while measuring the impacts of changing weather, construction work and infrastructure on roadway mobility and safety.


Iteris iPeMS, in combination with real-time and historical traffic data from mapping and location services provider Here, will provide the city with real-time, actionable insights to use to improve its transportation network and reduce congestion.

Urban Traffic Control

For more information on companies in this article

Related Content

  • Esri software manages complexity
    September 19, 2022
    Urban mobility patterns had been rapidly changing even before the pandemic.
    Read More
  • Tapco finds space for partnership deal in US Midwest
    September 11, 2024
    Firm will offer NoTraffic’s smart mobility platform, which can classify all road users
    Read More
  • Canadian city pilots technology to improve traffic flow, safety
    August 21, 2015
    The City of Edmonton, Canada is piloting new traffic technology to help drivers get where they need to faster, easier and more safely, with the help of the University of Alberta's Centre for Smart Transportation. The city is testing an Advisory Driving Speed system on one of the city’s major freeway where the legal speed limit is 80 km/h and which experiences congestion issues during peak periods. Signage informs drivers of the recommended speed they should travel to avoid traffic jams and sudden stops,
    Read More
  • Unlocking Toronto’s gridlock
    March 26, 2013
    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
    Read More

Highlighted Content