Dynamic Variable Speed Limit Zones Allocation Using Distributed Multi-Agent Reinforcement Learning. - Kresimir Kusic; Edouard Ivanjko; Filip Vrbanic; Martin Greguric; Ivana Dusparic (ITSC, 2021)

Reinforcement Learning Based Variable Speed Limit Control for Mixed Traffic Flows. - Filip Vrbanic; Edouard Ivanjko; Sadko Mandzuka; Mladen Miletic (MED, 2021)

Reinforcement Learning Based Variable Speed Limit Control for Mixed Traffic Flows Using Speed Transition Matrices for State Estimation. - Filip Vrbanic; Leo Tisljaric; Zeljko Majstorovic; Edouard Ivanjko (MED, 2022)

Impact of Connected Vehicles on Learning based Adaptive Traffic Control Systems. - Mladen Miletic; Dino Cakija; Filip Vrbanic; Edouard Ivanjko (SMC, 2022)

Motorway Bottleneck Probability Estimation in Connected Vehicles Environment Using Speed Transition Matrices. - Leo Tisljaric; Filip Vrbanic; Edouard Ivanjko; Tonci Caric (Sensors, 2022)

Towards the spatial analysis of motorway safety in the connected environment by using explainable deep learning. - Martin Greguric; Filip Vrbanic; Edouard Ivanjko (Knowl. Based Syst., 2023)

Impact of federated deep learning on vehicle-based speed control in mixed traffic flows. - Martin Greguric; Filip Vrbanic; Edouard Ivanjko (J. Parallel Distributed Comput., 2024)