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Mladen Miletić
Mladen Miletić
University of Zagreb Faculty of Transport and Traffic Sciences
在 fpz.unizg.hr 的电子邮件经过验证
标题
引用次数
引用次数
年份
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
842020
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
402020
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
232022
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
212017
Comparison of two approaches for preemptive traffic light control
M Miletić, B Kapusta, E Ivanjko
2018 international symposium ELMAR, 57-62, 2018
202018
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
162022
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
122021
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
102020
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
52022
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
32021
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
22023
Creating representative urban motorway traffic scenarios: initial observations
F Vrbanić, M Miletić, E Ivanjko, Ž Majstorović
2021 International Symposium ELMAR, 183-188, 2021
22021
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
22021
Simulation of a Signalised Urban Traffic Network using PTV VISSIM and MATLAB
M Miletić
September, 2017
22017
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
12022
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
12020
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
12017
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
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