Skip to main content

Econolite expands partnership with TrafficCast

Econolite has expanded its partnership with TrafficCast International and will integrate real time data from the TrafficCast BlueToad travel time module into its Centracs Advanced Transportation Management System (ATMS).
May 16, 2012 Read time: 2 mins
Econolite has expanded its partnership with TrafficCast International and will integrate real time data from the TrafficCast BlueToad travel time module into its Centracs Advanced Transportation Management System (ATMS).

BlueToad (Bluetooth Travel-time Origination And Destination) cost-effectively and non-intrusively detects anonymous mobile device identifications used to connect Bluetooth devices such as cell phones and in-vehicle hands-free kits. Accurate travel times are calculated through analysis of timestamps on subsequent tags of passing vehicles, and can also identify route behaviours from vehicle movements.

“BlueToad is the definitive travel-time and road speed analysis system available and we are excited to begin work towards incorporating its real time information into Centracs,” said Jeff Spinazze, Econolite senior VP of sales and product management. “As the proven solution for measuring travel times, BlueToad also has the ability to provide the critical real-time traffic evaluation data agencies need to proactively plan for evolving traffic conditions. Together, TrafficCast and Econolite can provide integrated transportation management solutions for both freeways and arterial corridors.”

“BlueToad’s unique capability of enabling granular road speed coverage for areas such as arterials and freeway on/off ramps complements Econolite’s Centracs ATMS solution,” said Paul Misticawi, TrafficCast VP of public sector sales. “We look forward to expanding our partnership and to working with Econolite’s latest ATMS system offering.”

Related Content

  • Social media mooted for traffic management
    November 13, 2012
    SQLstream’s Ronnie Beggs discusses with Jason Barnes the potential and pitfalls of using social media for traffic monitoring and management. cataclysmic events such as hurricanes and tsunami have challenged perceptions of what constitutes robust traffic management infrastructure in recent times. Presumptions that only fixed systems could offer high levels of unbroken service, accuracy and communication bandwidth, have been taught some hard lessons by nature. In many respects wireless systems now represent t
  • Econolite Group and Savari to collaborate on V2I solutions
    March 17, 2017
    Econolite Group has finalised negotiations with Savari and is forming an exclusive partnership to accelerate the deployment of vehicle-to-infrastructure (V2I) safety applications for the connected and automated vehicle (CAV) market. The agreement provides Econolite exclusive distributorship of Savari’s StreetWAVE roadside units (RSUs) to the Americas, Middle East and Africa. By combining Savari StreetWAVE RSUs with Econolite’s intelligent transportation system solutions, Centracs ATMS and Cobalt controll
  • Delcan touts award-winning ICM project at ITS America
    April 22, 2013
    Delcan is the systems integrator for a major integrated corridor management (ICM) pilot site being highlighted by the US DOT. The San Diego ICM project, led by the San Diego Association of Governments (SANDAG), has deployed an advanced system designed to manage and optimise all available infrastructure, routes and modes in a pro-active, coordinated manner. The project won the Best of ITS Award presented at the opening plenary
  • Iteris highlights local solutions in San Jose
    June 13, 2016
    Iteris is here at ITS America 2016 San Jose to highlight the company’s ITS solutions in the Bay Area. Santa Clara County leads the charge by using performance measurement systems at the arterial level with real-time Bluetooth data and turning movement count data. By aggregating the count data at intersections and utilising sophisticated algorithms for analysis, Iteris’ system provides speed, flow, and occupancy data for turning movement on the main corridors. Algorithms make short-term flow predictions t