Members of the department Filip Vrbanić, Leo Tišljarić, Željko Majstorović and Edouard Ivanjko published a paper entitled Reinforcement Learning-Based Dynamic Zone Placement Variable Speed Limit Control for Mixed Traffic Flows Using Speed Transition Matrices for State Estimation. The paper was published in the scientific journal „Machines“ published by MDPI.
The research described in the article was carried out as part of the Croatian Science Foundation (HRZZ) project: “Development of Learning Agent-based Systems for Improved Urban Traffic Control (DLASIUT)” and the DATACROSS project funded by the Center of Scientific Excellence for Data Science and Cooperative Systems. The paper is available at the link.