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.

For more information on companies in this article

Related Content

  • Machine vision takes ITS further than the eye can see
    January 5, 2016
    Vitronic’s John Yalda looks at how machine vision has become an integral part of many ITS deployments and why it complements, rather than replaces, ANPR. New and conventional business concepts like online shopping and mail order business are becoming more established in the cultures of fast-growing economies and increasing the demand for flexibility in the freight transportation and logistics industry. Road transport has become the preferred infrastructure for freight forwarding and several studies predict
  • Moscow models traffic conditions in real-time
    February 26, 2015
    Moscow, which has to contend with heavy congestion on its arterial and ring roads during rush hour, relies heavily on its newly-implemented intelligent transportation system (ITS). At the heart of the system is PTV Group’s model-based PTV Optima, which delivers accurate traffic information in real-time and enables dynamic forecasting for a timescale of 60 minutes. PTV Optima collects, compares, validates and combines data from multiple sources to produce a coherent and detailed traffic picture. Using a comb
  • New ANPR solutions overcome variables
    May 18, 2018
    The sheer range of variables makes it difficult to find a single algorithm to ensure a 100% standard of ANPR. David Crawford investigates new processing technology. Automatic number plate recognition (ANPR), using optical character recognition and image-processing to identify vehicles, plays key roles in traffic monitoring and law enforcement, access and parking control, electronic toll collection, vehicle security and crime deterrence. Overall, system performance is well rated, with high levels of
  • Computer technology increasingly aids traffic management
    February 3, 2012
    Alan Perrott, Tyco Fire & Integrated Solutions (UK) Ltd, looks at trends in CCTV technology for traffic surveillance applications