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Cars with Bluetooth devices to help ease traffic woes

Researchers have developed a new application that generates traffic information of cities and roads by detecting a Bluetooth device on board vehicles.

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Cars with Bluetooth devices to help ease traffic woes
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Researchers have developed a new application that generates traffic information of cities and roads by detecting a Bluetooth device on board vehicles.

The main goal of this system, developed by researchers from Universidad Politecnica de Madrid in Spain, is to generate information of city traffic and roads by identifying the movement of these cehicle-mounted Bluetooth devices.

This information includes magnitudes such as travel time between two points or the distribution of traffic at intersections, among others, that will allow city councils and highway concessionaires to carry out better management of the traffic network, subsequently reducing congestion.

The congestion problem makes each driver waste on average over 30 hours a year worldwide. This waste of time translates to an estimated 88 billion Euros a year in US and 839 million Euros in the city of Madrid, researchers said.

It is therefore necessary to implement measures to improve mobility in both roads and urban road infrastructures that will help alleviate the current situation.

To this end, researchers have developed BlueTT, a software programme embedded in a complete monitoring system that generates relevant information about congestion on streets and roads.

BlueTT unequivocally identifies the Bluetooth device in the vehicles and processes this data to forecast the travel time with updates every minute while automatically adapting to specific traffic conditions in real time.

BlueTT is able to connect thousands of detectors on a same platform by registering the new sensors that are deployed at different magnifications.

This capacity provides the system with the essential scalability in these type of applications. The captured data is delivered through a web interface that contains the travel time in real time.

The result is a robust system for generating relevant information about traffic. The system currently has three networks in Madrid and Seville and has been running in real-world conditions since November 2013.

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