Section: New Results

Belief propagation inference for traffic prediction

Participant : Jean-Marc Lasgouttes.

This work [50], [49], in collaboration with Cyril Furtlehner (TAU, Inria), deals with real-time prediction of traffic conditions in a setting where the only available information is floating car data (FCD) sent by probe vehicles. The main focus is on finding a good way to encode some coarse information (typically whether traffic on a segment is fluid or congested), and to decode it in the form of real-time traffic reconstruction and prediction. Our approach relies in particular on the belief propagation algorithm.

This year, following an agreement signed with the company SISTeMA ITS (Italy), we obtained access to large amounts of data from the cities of Vienna and Turin. We are now working on assessing the performance of our techniques in real-world city networks, and to compare it to the sate of the art techniques.