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 | 84 | 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 | 40 | 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 | 23 | 2022 |
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 |
Comparison of two approaches for preemptive traffic light control M Miletić, B Kapusta, E Ivanjko 2018 international symposium ELMAR, 57-62, 2018 | 20 | 2018 |
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 | 16 | 2022 |
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 |
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 | 10 | 2020 |
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 | 5 | 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 | 3 | 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 |
Creating representative urban motorway traffic scenarios: initial observations F Vrbanić, M Miletić, E Ivanjko, Ž Majstorović 2021 International Symposium ELMAR, 183-188, 2021 | 2 | 2021 |
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 |
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 | 1 | 2022 |
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 |
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 |
Air Pollution Modeling for Sustainable Urban Mobility with COVID-19 Impact Analysis: Case Study of Skopje. Sustainability 2023, 15, 1370 M Miletic, E Ivanjko, T Fratrovic, B Abramovic | | 2023 |
Influence of Variable Speed Limit Control on Fuel and Electric Energy Consumption, and Exhaust Gas Emissions in Mixed Traffic Flows. Sustainability 2022, 14, 932 F Vrbanic, M Miletic, L Tišljaric, E Ivanjko s Note: MDPI stays neutral with regard to jurisdictional claims in published …, 2022 | | 2022 |