JOURNAL PAPERS
Vrbanić, F.; Gregurić, M.; Miletić, M.; Ivanjko, “E. Reinforcement Learning-Based Dynamic Zone Positions for Mixed Traffic Flow Variable Speed Limit Control with Congestion Detection“. Machines 2023, 11, 1058. https://doi.org/10.3390/machines11121058
Martin Gregurić, Filip Vrbanić, Edouard Ivanjko, “Impact of federated deep learning on vehicle-based speed control in mixed traffic flows“, Journal of Parallel and Distributed Computing, 2023, 104812, https://doi.org/10.1016/j.jpdc.2023.104812
Miletić, Mladen, Edouard Ivanjko, Tomislav Fratrović, and Borna Abramović. 2023. “Air Pollution Modeling for Sustainable Urban Mobility with COVID-19 Impact Analysis: Case Study of Skopje” Sustainability 15, no. 2: 1370. https://doi.org/10.3390/su15021370
Vrbanić, Filip, Leo Tišljarić, Željko Majstorović, and Edouard Ivanjko. 2023. “Reinforcement Learning-Based Dynamic Zone Placement Variable Speed Limit Control for Mixed Traffic Flows Using Speed Transition Matrices for State Estimation” Machines 11, no. 4: 479. https://doi.org/10.3390/machines11040479
Majstorović, Željko; Tišljarić, Leo; Ivanjko, Edouard; Carić, Tonči, “Urban Traffic Signal Control under Mixed Traffic Flows: Literature Review“. Applied Sciences, 13 (2023), 7; 4484, 19 doi:10.3390/app13074484
Martin Gregurić, Filip Vrbanić, and Edouard Ivanjko, “Towards the spatial analysis of motorway safety in the connected environment by using explainable deep learning“, Knowledge-Based Systems, 2023, 110523, ISSN 0950-7051, https://doi.org/10.1016/j.knosys.2023.110523. (https://www.sciencedirect.com/science/article/pii/S0950705123002733)
K. Kušić, R. Schumann, and E. Ivanjko, “A digital twin in transportation: Real-time synergy of traffic data streams and simulation for virtualizing motorway dynamics”, Advanced Engineering Informatics, vol. 55, 2023, doi: https://doi.org/10.1016/j.aei.2022.101858.
Miloš, J., Hršak, P., Topić, N., Jakšić, L., Kušić, K., Vrbanić, F., & Ivanjko, E. (2022). “Influence of Spatial Placement of Variable Speed Limit Zones on Urban Motorway Traffic Control”. Promet – Traffic&Transportation, 34(4), 511–522. https://doi.org/10.7307/ptt.v34i4.4073
Miletić, M., Ivanjko, E., Gregurić, M., Kušić, K.: “A review of reinforcement learning applications in adaptive traffic signal control“, IET Intell. Transp. Syst. 1–17 (2022). https://doi.org/10.1049/itr2.12208
Tišljarić, Leo, Filip Vrbanić, Edouard Ivanjko, and Tonči Carić. 2022. “Motorway Bottleneck Probability Estimation in Connected Vehicles Environment Using Speed Transition Matrices” Sensors 2022, no. 7: 2807. https://doi.org/10.3390/s22072807
Martin Gregurić, Krešimir Kušić, Edouard Ivanjko, Impact of Deep Reinforcement Learning on Variable Speed Limit strategies in connected vehicles environments, Engineering Applications of Artificial Intelligence, Volume 112, 2022, 104850, https://doi.org/10.1016/j.engappai.2022.104850
Vrbanić, Filip; Miletić, Mladen; Tišljarić, Leo; Ivanjko, Edouard, Influence of Variable Speed Limit Control on Fuel and Electric Energy Consumption, and Exhaust Gas Emissions in Mixed Traffic Flows // Sustainability, 14 (2022), 2; 932, 20 https//doi.org/10.3390/su14020932
Kušić, Krešimir, Edouard Ivanjko, Filip Vrbanić, Martin Gregurić, and Ivana Dusparic. 2021. “Spatial-Temporal Traffic Flow Control on Motorways Using Distributed Multi-Agent Reinforcement Learning” Mathematics 9, no. 23: 3081. https://doi.org/10.3390/math9233081
Vrbanić, F.; Ivanjko, E.; Kušić, K.; Čakija, D. Variable Speed Limit and Ramp Metering for Mixed Traffic Flows: A Review and Open Questions. Appl. Sci. 2021, 11, 2574. https://doi.org/10.3390/app11062574
CONFERENCE PAPERS
Ž. Majstorović, M. Miletić, E. Ivanjko and T. Carić, “Reinforcement Learning-Based Traffic Signal Control Using Speed Transition Matrix for State Estimation,” 2024 International Symposium ELMAR, Zadar, Croatia, 2024, pp. 161-164, doi: 10.1109/ELMAR62909.2024.10694144.
K. Kušić et al., “Evaluation of Traffic Controller Performance via Systematic Exploration,” 2024 International Symposium ELMAR, Zadar, Croatia, 2024, pp. 165-168, doi: 10.1109/ELMAR62909.2024.10694499.
Krešimir Kušić, René Schumann, Martin Gregurić, Edouard Ivanjko and Marko Šoštarić, „Reliable learning-based controllers and how structured simulation is a path towards them“, Proceedings of 5th International Conference on Advances in Signal Processing and Artificial Intelligence (ASPAI’ 2023), 2023, TENERIFE (CANARY ISLANDS), SPAIN
M. Miletić, D. Čakija, F. Vrbanić and E. Ivanjko, “Impact of Connected Vehicles on Learning based Adaptive Traffic Control Systems,” 2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC), Prague, Czech Republic, 2022, pp. 3311-3316, doi: 10.1109/SMC53654.2022.9945071
Majstorović, Željko; Miletić, Mladen; Čakija, Dino; Dusparić, Ivana; Ivanjko, Edouard; Carić, Tonči, “Impact of the Connected Vehicles Penetration Rate on the Speed Transition Matrices Accuracy“. Transportation Research Procedia Volume 64, Issue C / Petrović, Marjana ; Dovbischuk, Irina ; Cunha, André Luiz (ur.). Šibenik, Hrvatska: Elsevier BV, 2022. str. 240-247 doi:10.1016/j.trpro.2022.09.029
K. Kušić, R. Schumann and E. Ivanjko, “Building a Motorway Digital Twin in SUMO: Real-Time Simulation of Continuous Data Stream from Traffic Counters,” 2022 International Symposium ELMAR, 2022, pp. 71-76, doi: 10.1109/ELMAR55880.2022.9899796
F. Vrbanić, L. Tišljarić, Ž. Majstorović and E. Ivanjko, “Reinforcement Learning Based Variable Speed Limit Control for Mixed Traffic Flows Using Speed Transition Matrices for State Estimation” Proceedings of the 30th Mediterranean Conference on Control and Automation (MED), 2022, pp. 1093-1098, doi: 10.1109/MED54222.2022.9837279
L. Babić, L. Tišljarić, F. Vrbanić and L. Novačko, “Autonomous Vehicles Parameter Influence on Mixed Traffic Flow on a Motorway: A Simulation Approach” Transportation Research Procedia, Volume 64, 2022, pp. 149-156, doi: 10.1016/j.trpro.2022.09.018
Majstorović, Ž.; Tišljarić, L.; Ivanjko, E. and Carić, T. (2022). Intersection Traffic State Estimation using Speed Transition Matrix and Fuzzy-based Systems. In Proceedings of the 19th International Conference on Informatics in Control, Automation and Robotics – ICINCO, ISBN 978-989-758-585-2; ISSN 2184-2809, pages 193-200. DOI: 10.5220/0011275500003271
Daniela Koltovska Nechoska, Roberto Pashic, Robert Šimić, and Edouard Ivanjko, “Proposal for Fuzzy based Adaptive Traffic Signal Control for Reducing Vehicle Emissions“, Proceedings of 3rd International Scientific Conference “TRANSPORT FOR TODAY’S SOCIETY”, Bitola, North Macedonia, October 14-16, 2021 http://ttsconf.org/wp-content/uploads/2022/04/TTS2021-Proceedings.pdf
K. Kušić, E. Ivanjko, F. Vrbanić, M. Gregurić, I. Dusparic, “Dynamic Variable Speed Limit Zones Allocation Using Distributed Multi-Agent Reinforcement Learning, ” In Proceedings of the 2021 IEEE 24th International Conference on Intelligent Transportation Systems (ITSC), 2021. DOI: 10.1109/ITSC48978.2021.9564739
F. Vrbanić, M. Miletić, E. Ivanjko and Ž. Majstorović, “Creating Representative Urban Motorway Traffic Scenarios: Initial Observations,” 2021 International Symposium ELMAR, 2021, pp. 183-188, doi: 10.1109/ELMAR52657.2021.9550867
M. Miletić, E. Ivanjko, S. Mandžuka and D. K. Nečoska, “Combining Neural Gas and Reinforcement Learning for Adaptive Traffic Signal Control,” 2021 International Symposium ELMAR, 2021, pp. 179-182, doi: 10.1109/ELMAR52657.2021.9550948.
Vrbanić, Filip; Ivanjko, Edouard; Mandžuka, Sadko; Miletić, Mladen, Reinforcement Learning Based Variable Speed Limit Control for Mixed Traffic Flows. Proceedings of 2021 29th Mediterranean Conference on Control and Automation (MED), Puglia, Italy: IEEE, 2021. pp. 560-565 doi: 10.1109/MED51440.2021.9480215