Mladen Miletić
Mladen Miletić
University of Zagreb Faculty of Transport and Traffic Sciences
Verified email at
Cited by
Cited by
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
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
Comparison of two approaches for preemptive traffic light control
M Miletić, B Kapusta, E Ivanjko
2018 international symposium ELMAR, 57-62, 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
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
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
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
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
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
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
Creating Representative Urban Motorway Traffic Scenarios: Initial Observations
F Vrbanić, M Miletić, E Ivanjko, Ž Majstorović
2021 International Symposium ELMAR, 183-188, 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
Simulation of a Signalised Urban Traffic Network using PTV VISSIM and MATLAB
M Miletić
September, 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
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
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
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
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
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
Adaptivno upravljanje izoliranim semaforiziranim raskrižjem primjenom neuronskih mreža
M Miletić
University of Zagreb. Faculty of Transport and Traffic Sciences. Division of …, 2019
The system can't perform the operation now. Try again later.
Articles 1–20