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 from the identification of Bluetooth devices boarded on vehicles.
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 a better management of traffic network in order to avoid congestion.
The congestion problem makes each driver waste on average over 30 hours a year worldwide. This waste of time is translated in 88 billion Euros a year in US and 839 million Euros in the city of Madrid, researchers said.
Thus, it is necessary to implement measures to improve mobility in both roads and urban road infrastructures that 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 boarded in vehicles and processes this data to forecast the travel time with updates every minute and automatically adapt the specific conditions of the traffic at all times.
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 this type of applications. The captured data is given through a web interface that contains the travel time in real time and a set of query about the storage information on a database.
The result is a robust system for generating relevant information about traffic. Now, the system has three networks in Madrid and Seville and running in real conditions since November 2013.
PTI