Hungarians to develop AI based traffic control system

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The European Interest Group CONCERT-Japan provides funding for a project coordinated by Vilmos Simon. 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.





