Skip to main content

Virtual traffic lights ‘can reduce commute times’

Researchers at Carnegie Mellon University (CMU) in the US claim to have found a solution to delays caused by traffic signals. They estimate that replacing physical traffic signals with virtual traffic signals could reduce urban commute times by 40 per cent. Electrical and Computer Engineering professor Ozan Tonguz’s research on virtual traffic lights uses connected vehicle technology, enabling vehicles to manage traffic control without infrastructure based traffic lights. Using the technology, virtua
January 16, 2015 Read time: 2 mins
Researchers at Carnegie Mellon University (CMU) in the US claim to have found a solution to delays caused by traffic signals. They estimate that replacing physical traffic signals with virtual traffic signals could reduce urban commute times by 40 per cent.

Electrical and Computer Engineering professor Ozan Tonguz’s research on virtual traffic lights uses connected vehicle technology, enabling vehicles to  manage traffic control without infrastructure based traffic lights.

Using the technology, virtual traffic lights will appear on the driver’s windshield as they approach an intersection. “When the driver is looking through the windshield, they’ll see that going straight is a green light, and turning right is a red light,” Tonguz explains. “It’s a seamless process, the driver does not get involved in this decision making.”  The virtual traffic light will turn off once the driver proceeds through the intersection.

Tonguz claims that virtual traffic lights will do more than lower commuter’s stress levels. He says they’ll mitigate traffic congestion, reduce commute times, decrease the carbon footprint of vehicles, and lead to a greener environment.

Related Content

  • 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
  • Rethink required to reduce road transport’s environmental impact
    March 15, 2016
    Against a background of a renewed focus on limiting the rise in average temperatures, Colin Sowman looks at a project that is taking a holistic approach to the environmental impact and safety of road transport. At the COP21 meeting in Paris last December, almost 200 nations agreed to reduce greenhouse gas emissions in an effort to keep the rise in global temperatures to 2°C) compared with pre-industrial levels. The transportation sector is a major contributor to the production of CO2, one of the main green
  • Data can help us mind the transportation gender gap
    April 18, 2023
    A gendered perspective in public transport is essential if we are to achieve equality, suggest Emma Chapman and Naomi Grant of WhereIsMyTransport 
  • Here: AI has place in ‘privacy by design’
    June 23, 2020
    Artificial intelligence may improve traffic in cities and keep location data private, but Here Technologies shows that it only takes four points of anonymous data to predict your identity.