A Comparison of Different State Representations for Reinforcement Learning Based Variable Speed Limit Control. - Kresimir Kusic; Edouard Ivanjko; Martin Greguric (MED, 2018)

Extended Variable Speed Limit control using Multi-agent Reinforcement Learning. - Kresimir Kusic; Ivana Dusparic; Maxime Guériau; Martin Greguric; Edouard Ivanjko (ITSC, 2020)

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

Impact of Deep Reinforcement Learning on Variable Speed Limit strategies in connected vehicles environments. - Martin Greguric; Kresimir Kusic; Edouard Ivanjko (Eng. Appl. Artif. Intell., 2022)

Increasing Motorway Operational Capacity by Dynamic Adaptation of Variable Speed Limit Zones Based on Cooperative Learning Agents ; Povećanje operativnoga kapaciteta autocesta dinamičkom prilagodbom zona promjenjivoga ograničenja brzine zasnovanim na kooperativnim učećim agentima. - Kresimir Kusic (2023)

A digital twin in transportation: Real-time synergy of traffic data streams and simulation for virtualizing motorway dynamics. - Kresimir Kusic; René Schumann; Edouard Ivanjko (Adv. Eng. Informatics, 2023)