Our departmental colleagues Vilmos Simon, Árpád Huszák and Bereczki Norman, as well as Ismail Arai, a researcher from our Japanese partner, the NAIST, presented the TRALICO (Multi-Input Deep Learning for Congestion Prediction and Traffic Light Control) project at the EIG CONCERT-Japan Kick Off Workshop in Prague, with presentation and poster.
Our department’s MEDIANETS lab, together with partners Nara Institute of Science and Technology (Japan) and Istanbul IT and Smart City Technologies Inc. (Turkey), are developing solutions that can predict future traffic intensity and emerging traffic congestion using artificial intelligence. These predictions will be used to intervene in the control of traffic lights in real time, adjusting them to the predicted traffic characteristics, reducing travel time and emissions.
