| Application of Deep Reinforcement Learning in Traffic Signal Control: An Overview and Impact of Open Traffic Data M Gregurić, M Vujić, C Alexopoulous, M Miletić Applied Sciences 10 (11), 2020 | 101 | 2020 |
| An overview of reinforcement learning methods for variable speed limit control K Kušić, E Ivanjko, M Gregurić, M Miletić Applied Sciences 10 (14), 4917, 2020 | 51 | 2020 |
| A review of reinforcement learning applications in adaptive traffic signal control M Miletić, E Ivanjko, M Gregurić, K Kušić IET Intelligent Transport Systems 16 (10), 1269-1285, 2022 | 35 | 2022 |
| Comparison of two approaches for preemptive traffic light control M Miletić, B Kapusta, E Ivanjko 2018 international symposium ELMAR, 57-62, 2018 | 22 | 2018 |
| Preemptive traffic light control based on vehicle tracking and queue lengths B Kapusta, M MiletiC, E Ivanjko, M Vujić 2017 International Symposium ELMAR, 11-16, 2017 | 21 | 2017 |
| Influence of variable speed limit control on fuel and electric energy consumption, and exhaust gas emissions in mixed traffic flows F Vrbanić, M Miletić, L Tišljarić, E Ivanjko Sustainability 14 (2), 932, 2022 | 17 | 2022 |
| State complexity reduction in reinforcement learning based adaptive traffic signal control M Miletić, K Kušić, M Gregurić, E Ivanjko 2020 International Symposium ELMAR, 61-66, 2020 | 15 | 2020 |
| Reinforcement learning based variable speed limit control for mixed traffic flows F Vrbanić, E Ivanjko, S Mandžuka, M Miletić 2021 29th Mediterranean Conference on Control and Automation (MED), 560-565, 2021 | 12 | 2021 |
| Impact of the connected vehicles penetration rate on the speed transition matrices accuracy Ž Majstorović, M Miletić, D Čakija, I Dusparić, E Ivanjko, T Carić Transportation Research Procedia 64, 240-247, 2022 | 6 | 2022 |
| Combining neural gas and reinforcement learning for adaptive traffic signal control M Miletić, E Ivanjko, S Mandžuka, DK Nečoska 2021 International Symposium ELMAR, 179-182, 2021 | 5 | 2021 |
| Creating representative urban motorway traffic scenarios: initial observations F Vrbanić, M Miletić, E Ivanjko, Ž Majstorović 2021 International Symposium ELMAR, 183-188, 2021 | 4 | 2021 |
| Reinforcement learning-based dynamic zone positions for mixed traffic flow variable speed limit control with congestion detection F Vrbanić, M Gregurić, M Miletić, E Ivanjko Machines 11 (12), 1058, 2023 | 2 | 2023 |
| Impact of Connected Vehicles on Learning based Adaptive Traffic Control Systems M Miletić, D Čakija, F Vrbanić, E Ivanjko 2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2022 | 2 | 2022 |
| In-Depth Evaluation of Reinforcement Learning Based Adaptive Traffic Signal Control Using TSCLAB D Pavleski, M Miletić, DK Nečoska, E Ivanjko Transformation of Transportation, 49-64, 2021 | 2 | 2021 |
| Simulation of a Signalised Urban Traffic Network using PTV VISSIM and MATLAB M Miletić September, 2017 | 2 | 2017 |
| Creating A Data-Set For Sustainable Urban Mobility Analysis: Lessons Learned M Miletić, K Kušić, M Gregurić, DK Nečoska, E Ivanjko, H Kalinić 2020 International Symposium ELMAR, 73-78, 2020 | 1 | 2020 |
| Simulacija semaforizirane urbane prometne mreže korištenjem PTV VISSIM-a te MATLAB-a M Miletić University of Zagreb. Faculty of Transport and Traffic Sciences. Division of …, 2017 | 1 | 2017 |
| Reinforcement Learning-Based Traffic Signal Control Using Speed Transition Matrix for State Estimation Ž Majstorović, M Miletić, E Ivanjko, T Carić 2024 International Symposium ELMAR, 161-164, 2024 | | 2024 |
| Growing Neural Gas in Multi-Agent Reinforcement Learning Adaptive Traffic Signal Control M Miletić, I Dusparić, E Ivanjko | | 2024 |
| Air Pollution Modeling for Sustainable Urban Mobility with COVID-19 Impact Analysis: Case Study of Skopje M Miletić, E Ivanjko, T Fratrović, B Abramović Sustainability 15 (2), 1370, 2023 | | 2023 |
Edouard IvanjkoUniversity of Zagreb Faculty of Transport and Traffic SciencesVerified email at fpz.unizg.hr
