Skip to main content

BlueToad travel-time deployment on major arterials in Georgia

TrafficCast International has successfully implemented two traffic signal optimisation projects in the State of Georgia. To improve key arterial roadway efficiencies, Cobb County and Fulton County have deployed TrafficCast’s BlueToad online suite of travel time data management tools to mitigate congestion and reduce travel delays.
July 11, 2012 Read time: 2 mins
RSS826 TrafficCast International has successfully implemented two traffic signal optimisation projects in the State of Georgia. To improve key arterial roadway efficiencies, Cobb County and Fulton County have deployed TrafficCast’s  BlueToad online suite of travel time data management tools to mitigate congestion and reduce travel delays.

BlueToad (Bluetooth Travel-time Origination And Destination) detects anonymous mobile device information used to connect Bluetooth devices such as hands-free headsets, cellular phones, navigation units and in-vehicle infotainment systems. The technology calculates accurate travel times through analysis of timestamps of unique Bluetooth identifiers on these devices as vehicles pass, and can identify route behaviours based on vehicle movements.

“Used as a performance based measurement tool, BlueToad provides us with a traffic data system to help support the efficient operation of our adaptive corridor management initiative,” said Cobb County traffic signal systems manager, Brook Martin. “For example, our new traffic management centre (TMC) utilizes the BlueToad real-time speed map and associated data as an incident management and monitoring resource to determine the effects of heavy traffic from I-75 spilling onto Cobb Parkway.”

Wyvern Budram, Fulton County traffic operations manager comments that, “using BlueToad for reporting historical data gathered from an archived travel-time database, we are able to analyse valuable information to effectively manage our newly-installed adaptive signal system.  As a result, we use BlueToad data to determine modifications to signal timing splits and offsets to actively manage and maintain our key arterial traffic signals.”

For more information on companies in this article

Related Content

  • A carbon free and accident free Europe by 2015?
    February 2, 2012
    By 2050, the Europe Commission aims to make transport in Europe carbon- and accident-free. Between now and then, however, a significant technological development and deployment effort is needed. Here, Neelie Kroes, European Commission Vice-President for the Digital Agenda, talks about what's being done. In many respects, COOPERS, CVIS and SAFESPOT, set up by the European Commission (EC) to explore the potential of cooperative infrastructure systems, are already legacy projects. Between them, the three devel
  • Iteris aids CDOT’s road weather forecasting
    February 19, 2015
    Iteris has again been selected by the Colorado Department of Transportation (CDOT) to provide state-wide road weather forecasting and maintenance decision support services using the Iteris ClearPath Weather service. The service agreement is renewable annually for up to three years, bringing the full potential revenue of a three-year contract to approximately US$1.4 million. ClearPath Weather is based on Iteris’ proprietary highway condition analysis and prediction system (HiCAPS) pavement condition model an
  • Crowd-sourced data feed enhances traffic monitoring
    November 20, 2012
    In the US, NaviGAtor 511, Georgia’s traveller information system, has partnered with Waze to provide enhanced traffic information. Waze, a crowd-sourced social GPS and real-time traffic application for smartphones and Android phones, will provide enhanced traffic data to the current 511 system, and create a special 511 user group, specifically for Georgia travelers, within the existing Waze mobile app. The arrangement was provided for under an existing marketing contract with Iteris, the firm that has opera
  • SwRI uses AI on Tennessee integrated corridor
    April 22, 2021
    SwRI is developing machine learning algorithms to help coordinate traffic management