The European Interest Group CONCERT-Japan provides funding for a project coordinated by Vilmos Simonr. The awarded consortium involves BME VIK MEDIANETS Lab as a member.

The project called ‘Multi-Input Deep Learning for Congestion Prediction and Traffic Light Control (TRALICO)’ was selected for funding under the European Interest Group CONCERT-Japan programme. This project is coordinated by Vilmos Simon, head of MEDIANETS Lab at the Department of Networked Systems and Services of BME’s Faculty of Electrical Engineering and Informatics.

In cooperation with the Nara Institute of Science (Japan) and the Istanbul IT and Smart City Technologies Inc. (Turkey), BME’s MEDIANETS research laboratory will develop solutions that will be able to predict the intensity of future traffic and forecast potential congestions using artificial intelligence. These predictions will be used to intervene in the control of traffic lights in real time in response to the traffic conditions identified. This will help reduce travel time and harmful emissions.

This solution is significant and unique as no similar solution has been tested in real life situations in a large urban environment in Europe or in Japan before. A key objective of the project is to have the partners test this solution in real life traffic conditions too, in one of the world’s largest cities, Istanbul. The reference solution created in Istanbul in the course of the three-year project is also expected to strongly support the solution’s future marketing as a large number of cities are interested in a similar solution.