Skip to main content

Econolite introduces cloud-based signal performance solution

Econolite has launched Centracs Signal Performance Measures (SPM), a cloud-based high-resolution traffic data collection and analytics software solution designed to improve traffic signal optimisation and continuous monitoring. It has been developed in support of the fourth round of the Every Day Counts (EDC-4) program of the US Federal Highway Administration (FHWA) that encourages implementation of automated traffic signal performance measures as a means to optimise traffic signal coordination and programm
July 31, 2017 Read time: 1 min
1763 Econolite has launched Centracs Signal Performance Measures (SPM), a cloud-based high-resolution traffic data collection and analytics software solution designed to improve traffic signal optimisation and continuous monitoring. It has been developed in support of the fourth round of the Every Day Counts (EDC-4) program of the US 831 Federal Highway Administration (FHWA) that encourages implementation of automated traffic signal performance measures as a means to optimise traffic signal coordination and programming.


The 324 US Department of Transportation recommends re-timing of traffic signals every three to seven years.  Centracs SPM enables transportation agencies to make signal re-timing strategy decisions based on high-resolution dynamic traffic performance data without the costs associated with manually-collected low-resolution data and simulations

It provides continuous traffic data collection and analytics, enabling transportation professionals to proactively optimise signal timing, enhancing mobility and safety. In addition, Centracs SPM is suitable for deployment in connected and autonomous vehicles and Smart City applications.

For more information on companies in this article

Related Content

  • Intersection collision avoidance system trial
    January 31, 2012
    Although much of the emphasis of research into intersection management has tended to concentrate on the needs of urban locations, there remain specific issues pertaining to rural intersections which need to be addressed. Here, Rebecca Szymkowski and Greg Helgeson, Wisconsin DOT, Todd Szymkowski, University of Wisconsin-Madison, and Craig Shankwitz and Arvind Menon, University of Minnesota detail progress on an intersection collision avoidance system for more remote locations.
  • ITS Australia Awards 2023: winners shine in 'period of great resurgence'
    February 23, 2023
    Awards reflect the 'outstanding productivity, innovation, and creativity' of ITS sector
  • Teledyne Flir channels AI potential
    March 30, 2022
    Visionary innovator Teledyne Flir has revolutionsied traffic system cameras, as visitors to the company’s stand here will see. Two ground-breaking innovations, based on artificial intelligence (AI), are being featured – the Flir ThermiCam AI with thermal imaging and the Flir TraffiCam AI visible camera.
  • Cloud computing technology benefits GIS
    July 17, 2012
    Geographic Information Systems are a relatively late adopter of cloud computing,but the benefits of host services for geospatial data and analysis are becoming clear. Jason Barnes reports Both the concept and the reality of cloud computing have been around for some time. More and more industry sectors are entrusting external service providers with the provision of their computing services via the internet. However, the Geographic Information System (GIS) industry has been slow to embrace the trend. This is