Methods and algorithms developed in the Associate team will be evaluated using real data. These data will be obtained from the innovative technological platforms (testbeds) of the partners.

Grenoble Traffic Lab (GTL) initiative, is a real-time traffic data center (platform) intended to collect traffic road infrastructure information in real-time with minimum latency and fast sampling periods. It consists in a fully and dedicated real-time wireless sensor network along all the south-ring in Grenoble allowing to measure velocity and flows in particular locations of the road. A great innovation here is that the sensors are placed to ensure the best conditions for observability and controllability. Real-time data are accessible directly to our server at the INRIA-RA. The project is in collaboration with Grenoble traffic authorities (DIR-CE).

   

The Performance Measurement System, (PeMS) is a portal for the collection and dissemination of raw and processed traffic information, maintained by the California Department of Transportation (Caltrans). Its core concepts and algorithm were developed at U.C. Berkeley PATH in the early 2000's, and it continues to serve as the main source of traffic data for several PATH projects. The Berkeley team has built many algorithms for estimating, controlling, and predicting traffic using PeMS data. While PeMS covers all of the state of California, there are only a few locations that qualify as testbeds. The main one of these is the I-15 corridor near San Diego. This site has been designated by the FHWA (Federal Highway Administration) as a one of two "pioneer sites" for the deployment of advanced integrated corridor management systems. The Berkeley team has built, calibrated, and validated models of the I-15 ICM site that will demonstrate the effectiveness of real-time predictive control and decision support strategies.