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.”

Related Content

  • February 2, 2012
    Bluetooth speed and travel data collection shows cost savings
    Houston TranStar is using Bluetooth sensors to collect speed and travel data in a project which is already demonstrating significant cost savings
  • July 17, 2012
    Real time active traffic management improves travel times
    Traffic management centres (TMC) have traditionally served to provide surveillance and responses to traffic incidents and recurring and non-recurring changes in road networks. Typically, a TMC collected field data from the roadway and transit infrastructure and provided the integration necessary for operators to see what was happening and then coordinate a response. Standard operating procedures (SOPs) guided operators on how to respond to a given situation. It eventually became impractical for TMC operat
  • October 7, 2013
    North Florida signals coordinated approach to congestion management
    David Crawford investigates innovative congestion management in Florida. The largest US city by area is well into the implementation of an ambitious congestion management system (CMS) on the scale of those of higher-profile centres such as Seattle and San Francisco. Regional agency the North Florida Transportation Planning Organisation (NFTPO) aims to ensure that commuters on major highways in Jacksonville can rely on a minimum 72km/h (45mph) driving speed in normal conditions.
  • February 2, 2012
    Signal optimisation reduces congestion, improves travel times
    The Metropolitan Government of Nashville and Davidson County's Department of Public Works(MPW) identified seven corridors in the County that experience heavy traffic congestion and needed traffic signal timing improvements to improve traffic flow as well as air quality and fuel consumption. The seven corridors included a total of 223 signalised intersections. To conduct this study, termed the Traffic Signal Optimisation Study for the Metro Nashville Signal System, MPW received funding from the Federal Conge