Skip to main content

Florida deploys BlueTOAD Spectra for traffic, travel time monitoring

TrafficCast International has completed the implementation of its latest generation Bluetooth signal sensor detector technology, BlueTOAD Spectra, in Florida. In December 2016, the Florida Department of Transportation's Traffic Engineering Research Laboratory (TERL) approved the new BlueTOAD Spectra dual-radio Bluetooth detection system for inclusion on the State's Approved Products List (APL). At the same time, several Florida local agencies also tested the BlueTOAD Spectra. Seminole County, a Blue
March 8, 2017 Read time: 2 mins
826 TrafficCast International has completed the implementation of its latest generation Bluetooth signal sensor detector technology, BlueTOAD 8083 Spectra, in Florida.

In December 2016, the 4503 Florida Department of Transportation's Traffic Engineering Research Laboratory (TERL) approved the new BlueTOAD Spectra dual-radio Bluetooth detection system for inclusion on the State's Approved Products List (APL). At the same time, several Florida local agencies also tested the BlueTOAD Spectra.
 
Seminole County, a BlueTOAD user since 2011, tested the new Spectra sensors as a possible solution for their need to monitor and collect data during non-peak hour traffic conditions.

Palm Beach County, a BlueTOAD user since 2012, tested the Spectra technology on one of their primary arterial roadways, stating that they achieved a match rate of 394 vehicles in one hour.

A new BlueTOAD user, Manatee County Florida, is currently deploying a 60-unit Spectra sensor system countywide for real-time travel-time monitoring, signal retiming and evacuation route planning.

BlueTOAD spectra traces anonymous Bluetooth signals from mobile devices in vehicles to determine travel times, road speeds and vehicle movements, even when a phone is paired to the vehicle rendering it ‘undiscoverable’. This increase in data provides the most accurate travel times on lower volume roads and during non-peak hours, while also providing for a much larger footprint for area-wide origin/destination studies.

Related Content

  • June 1, 2016
    B&C Transit modernises Miami-Dade Metrorail’s control systems
    Jason Gomez and Daniel Mondesir describe how passenger disruption was minimised during a major upgrading of the control room of Miami-Dade’s Metrorail. In 1984 when the Miami-Dade Department of Transportation and Public Works’ (DTPW) Metrorail system was launched in southern Florida, trains ran 18km along a single line and stopped at 10 stations.
  • January 26, 2012
    What's next for traffic management and data collection?
    As the technologies and stakeholders in traffic management evolve, what can we expect to see happening in the coming years? For many, the conversation of the moment is just how, and how far, the newer technologies and services provided principally by the private sector should be allowed to intrude into the realms of traffic management.
  • November 16, 2012
    Bluetooth traffic monitoring in Denmark
    Denmark’s second largest city has installed the BlipTrack Bluetooth based traffic monitoring system to monitor travel times and traffic flow. The sensors have been installed at strategic locations around the city and following eight months of testing, the company says the non-intrusive system provides the same information as alternative and more expensive solutions such as ANPR and loops. Sixty sensors are currently installed around the city to monitor travel times, detect changes in traffic patterns and w
  • February 15, 2013
    Estimating winter road recovery time with traffic data
    In Minnesota, US, the most common measure for snow management performance is the time it takes to completely clear a roadway after a snow event ends. Currently, the Minnesota Department of Transportation (MnDOT) relies on visual inspections by its field crews to estimate this bare pavement recovery time. To help MnDOT more accurately and reliably estimate the performance of its snow management activities, researchers from the University of Minnesota Duluth (UMD) have developed a prototype process that uses