Bluetooth-based traffic detection

Traffax has launched BluFax, based on the globally ubiquitous Bluetooth digital communications protocol, which operates by detecting the MAC addresses of Bluetooth signals from passing cars.
February 6, 2012 Read time: 2 mins
A BluFax freeway installation in Indiana
2262 Traffax has launched BluFax, based on the globally ubiquitous 1835 Bluetooth digital communications protocol, which operates by detecting the MAC addresses of Bluetooth signals from passing cars. By positioning two units at distances of between 1-3km, vehicle travel times are calculated from the relative detection times recorded by the two units. Traffax has licensed the patent-pending technology from the University of the Maryland, where the concept originated under the support of the Maryland State Highway Administration.

Traffax says Bluetooth address matching can be used for a number of applications including measurement of travel times on both freeway and arterial roadways, measurement of origin-destination patterns, and tracking of pedestrian flows. Since it directly measures travel times and space-mean speeds, Traffax claims BluFax is one of the few technologies that offers the ability to accurately measure arterial travel times. The company says that demonstrated detection rates exceeding five per cent of the total traffic stream, yield sample sizes adequate for reliable measurement of arterial flows.

There are two versions of the Traffax BluFax unit. An off-line version is offered that stores its measurements on removable storage media for subsequent processing. This device is typically used for traffic studies, performance measurement and validation of other data collection techniques. It is self-powered and requires no communications.

A real-time version is also offered that continuously transmits the MAC addresses and detection times of passing vehicles to a collection site for continuous processing. The real-time unit is used for such applications as display of travel times on variable message signs, and data inputs to 511 telephone systems.
Detection, Monitoring & Machine Vision

For more information on companies in this article

Related Content

  • TomTom provides flexibility for Riyadh
    June 1, 2016
    With five years of traffic disruption ahead and an inadequate traffic monitoring system, the authorities in Riyadh needed a solution – and quickly. In preparation for embarking on what is currently the world’s largest metro construction project, the Arriyadh Development Authority (ADA) in Riyadh needed to put in place measures to minimise the additional congestion and travel delays the five-year project would inevitably cause.
    Read More
  • IN FOCUS: What Lidar does next
    March 16, 2023
    Automotive, tolling, robotics – outside of traffic, road safety and autonomous vehicles, what applications will move the dial in terms of Lidar during 2023? Quite a few, finds Adam Hill
    Read More
  • Oxford University develops self-driving car
    February 18, 2013
    Oxford University scientists have developed a self-driving car system that can be installed in existing cars and can cope with snow, rain and other weather conditions. Developed by a team led by Professor Paul Newman at Oxford University, the new system has been installed in a Nissan Leaf electric car and tested on private roads around the university. The car will halt for pedestrians, and could take over the tedious parts of driving such as negotiating traffic jams or regular commutes. The car alerts the
    Read More
  • TomTom launches RoadDNA
    September 14, 2015
    TomTom has launched TomTom RoadDNA, a new product for vehicle localisation that will help make automated driving a reality, faster. Designed with vehicle data storage and processing limitations in mind, RoadDNA delivers highly accurate location information that can easily be integrated into the on-board system of a vehicle. RoadDNA’s propriety technology delivers a highly optimised lateral and longitudinal view of the roadway. By matching RoadDNA data with vehicle sensor data in real-time a vehicle knows
    Read More

Highlighted Content