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2020 – today
- 2024
[j3]Martin Greguric
, Filip Vrbanic, Edouard Ivanjko:
Impact of federated deep learning on vehicle-based speed control in mixed traffic flows. J. Parallel Distributed Comput. 186: 104812 (2024)- 2023
- [j2]Martin Greguric, Filip Vrbanic, Edouard Ivanjko:
Towards the spatial analysis of motorway safety in the connected environment by using explainable deep learning. Knowl. Based Syst. 269: 110523 (2023) - 2022
- [j1]Martin Greguric, Kresimir Kusic, Edouard Ivanjko:
Impact of Deep Reinforcement Learning on Variable Speed Limit strategies in connected vehicles environments. Eng. Appl. Artif. Intell. 112: 104850 (2022) - 2021
- [c5]Kresimir Kusic, Edouard Ivanjko, Filip Vrbanic, Martin Greguric, Ivana Dusparic:
Dynamic Variable Speed Limit Zones Allocation Using Distributed Multi-Agent Reinforcement Learning. ITSC 2021: 3238-3245 - 2020
- [c4]Kresimir Kusic, Ivana Dusparic, Maxime Guériau, Martin Greguric, Edouard Ivanjko:
Extended Variable Speed Limit control using Multi-agent Reinforcement Learning. ITSC 2020: 1-8
2010 – 2019
- 2018
- [c3]Kresimir Kusic, Edouard Ivanjko, Martin Greguric:
A Comparison of Different State Representations for Reinforcement Learning Based Variable Speed Limit Control. MED 2018: 266-271 - 2016
- [p1]Martin Greguric, Edouard Ivanjko, Sadko Mandzuka:
Learning-Based Control Algorithm for Ramp Metering. Autonomic Road Transport Support Systems 2016: 197-213 - 2015
- [c2]Martin Greguric, Edouard Ivanjko, Sadko Mandzuka:
A Neuro-fuzzy Based Approach to Cooperative Ramp Metering. ITSC 2015: 54-59 - 2014
- [c1]Martin Greguric, Edouard Ivanjko, Sadko Mandzuka:
Cooperative ramp metering simulation. MIPRO 2014: 970-975
Coauthor Index
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