Trafficware and Green Driver partner on traffic signal prediction app

Trafficware’s infrastructure-to-vehicle collaboration with technology partners combines two things that most people interact with on a daily basis: their smartphone and traffic. The company has partnered with Green Driver which has developed a smartphone app, EnLighten, to communicate with the central traffic management system to provide drivers with predictions on how long they will be stopped at traffic lights. Trafficware provides the real-time traffic signal data for intersections to Green Driver.
February 7, 2014 Read time: 1 min
5642 Trafficware’s infrastructure-to-vehicle collaboration with technology partners combines two things that most people interact with on a daily basis: their smartphone and traffic.

The company has partnered with Green Driver which has developed a smartphone app, EnLighten, to communicate with the central traffic management system to provide drivers with predictions on how long they will be stopped at traffic lights. Trafficware provides the real-time traffic signal data for intersections to Green Driver.

Trafficware was the logical technology partner, as the company currently has the City of Las Vegas as one of its central traffic management system customers. This central software system is flexible and extensible, allowing for integration with third party software products like EnLighten.
Urban Traffic Control

For more information on companies in this article

Related Content

  • Applied Information at a Glance
    August 5, 2024
    Preemption system can control multiple traffic signals in direction of travel
    Read More
  • Improving driver information, making in-vehicle systems a reality
    January 26, 2012
    Scott J. McCormick, president of the Connected Vehicle Trade Association, considers what we have to do next to make the more widespread deployment of automotive telematics a reality
    Read More
  • MIT researchers hack into traffic lights
    August 22, 2014
    With permission from a local road agency, researchers in from the University of Michigan hacked into nearly 100 wirelessly networked traffic lights, highlighting security issues that they say are likely to pervade networked traffic infrastructure around the country. More than 40 states currently use such systems to keep traffic flowing as efficiently as possible, helping to reduce emissions and delays. The team, led by University of Michigan computer scientist J. Alex Halderman, found three major weaknes
    Read More
  • Predicting and solving future transport problems?
    August 10, 2012
    Can the future be predicted? With what accuracy can ‘predictive analytics’ be used to help anticipate demand? This is a relatively new science for transportation and over the next few years it will be interesting to see to what extent it can solve some common problems. Transportation authorities may be close to finding the golden chalice that is accurate prediction of how traffic will behave as congestion occurs. Predictive algorithms are not necessarily new, but the coming together of conditions needed for
    Read More

Highlighted Content