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

  • New technology revolution in urban traffic control?
    January 26, 2012
    Urban traffic control is a well-defined and practised art. Nevertheless, there are technologies here and on the horizon with the potential to revolutionise how we do things. By Gavin Jackman and Andrew Kirkham, TRL, and Jason Barnes. Distributed monitoring and control of urban traffic networks and flows is nothing new. PC-based Urban Traffic Control (UTC) is now well established and operating in many locations around the world. However, it is worth considering the effects of the huge growth in the use of sm
  • American Traffic Solutions
    March 16, 2012
    The City of Edmonton in the Alberta province of western Canada has a system in place which American Traffic Solutions (ATS) believes exemplifies how a road safety camera programme should be operated. Edmonton’s programme began in September 1999 with six cameras rotating through 12 locations. Nearly 10 years later, at the beginning of 2009, provincial legislation was passed allowing police agencies in Alberta to use road safety cameras to enforce both red light and speed infractions.
  • Adaptive control reduces travel time, cuts congestion
    January 20, 2012
    Situated in San Diego County, California, the growing city of San Marcos has seen its population increase by 53.5 per cent since the turn of the century. Although this dramatic population increase has spurred economic growth bringing new business, homes and opportunities to the city, it has also increased traffic congestion along its central corridor, San Marcos Boulevard. This became the most congested arterial in the city, and, by 2006, the second-most travelled corridor in San Diego County.
  • Cohda trial proves C-ITS can work in tunnels
    August 29, 2019
    Connected cars require uninterrupted signals to ensure driving safety. Going underground creates problems – but a trial in Norway suggests that there might be light at the end of the tunnel… As connectivity becomes increasingly important for transportation – in particular for connected and autonomous vehicles (C/AVs) - the problem of ‘blackspots’ and dead zones where signals fail or drop out is a pressing one. But developments early this year suggest that advances in technology might be on the brink of d