News
Presenting TRALICO at the EIG CONCERT-Japan Kick Off Workshop
Our departmental colleagues Vilmos Simon, Árpád Huszák and Bereczki Norman, as well as Ismail Arai, a researcher from our Japanese partner, the NAIST, presented the TRALICO (Multi-Input Deep Learning for Congestion Prediction and Traffic Light Control) project at the EIG CONCERT-Japan Kick Off Workshop in Prague, with presentation and poster.
Our department's MEDIANETS lab, together with partners Nara Institute of Science and Technology (Japan) and Istanbul IT and Smart City Technologies Inc. (Turkey), are developing solutions that can predict future traffic intensity and emerging traffic congestion using artificial intelligence. These predictions will be used to intervene in the control of traffic lights in real time, adjusting them to the predicted traffic characteristics, reducing travel time and emissions.
Our colleagues’ participation at the TRALICO project meeting
Our departmental colleagues Vilmos Simon, Árpád Huszák and Norman Bereczki participated in the meeting of the TRALICO (Multi-Input Deep Learning for Congestion Prediction and Traffic Light Control) project in Istanbul, holding discussions with their consortium partners, the Nara Institute of Science and Technology (Japan) and the ISBAK - Istanbul IT and Smart City Technologies Inc. (Turkey).
They visited the research and development center of ISBAK and the traffic control center of Istanbul Metropolitan Municipality, where the traffic of 16 million people is monitored and managed every day. Together with their partners, they develop solutions based on artificial intelligence to predict future traffic intensity and emerging traffic congestions. These predictions will be used to intervene by traffic lights control in real time, adjusting the programs to the predicted traffic characteristics, reducing travel time and emissions.
New PhD students in the lab
We proudly announce that this September three new PhD students have joined the MEDIANETS team.
Yasameen Sajid earned her MSc degree from Al-Qadisiyah University, Iraq, in 2021. From 2021 to 2024, she served as an Assistant Lecturer. In 2024, she was awarded the prestigious Stipendium Hungaricum Scholarship, enabling her to pursue PhD studies at the Budapest University of Technology and Economics (BME). Her research focuses on network routing, energy efficiency in wireless sensor networks (WSN), and network traffic and event classification.
Hassanien graduated from the University of Technology and Engineering as a Computer Engineer in Baghdad (Iraq) in 2006, then he got a master degree from Reading University (Advanced in computer Science) in the UK in 2014. In September 2024, he got Stipendium Hungaricum Scholarship to join the PhD program at BME MEDIANETS Lab. His primary research interests are machine learning, reinforcement learning, traffic management for autonomous vehicles.
Mohammed Mohaisen received his MSc in Business Informatics Engineering from Corvinus University of Budapest in 2023 and holds a BSc in Computer System Engineering from Al-Azhar University. He is currently a PhD student at the BME MEDIANETS Lab under the Stipendium Hungaricum Scholarship, where he also serves as a laboratory assistant for the Basic Programming 1 course. His research focuses on machine learning-based traffic optimization in smart cities and V2X communication.
Our colleague László Bokor participated in the annual Car-2-Car forum
As a result of the invitation of our industrial partners, our colleague László Bokor participated in the Car-2-Car Communications Consortium's 2024 Forum in Frankfurt. The 2024 meeting of the professional and scientific community of automotive communications on October 22-23, 2024, in Frankfurt, Germany, highlighted several hot topics, such as actual deployment questions of cooperative intelligent transport systems, relevant activities of the automotive industry, the current state of the art in the field of protection of vulnerable road users and optimal usage of radio resources. László Bokor was involved in discussions of C2C-CC activities requiring advanced simulation modeling of V2X communication technologies and solutions.
Vilmos Simon was elected by the HUN-REN Headquarters Governing Board as a member of the Scientific Council
HUN-REN was established to manage and operate a centrally funded, independent research network that is a cornerstone of Hungarian scientific life. The researchers of its eleven research centers and seven research institutes, as well as its 116 supported research groups operating at universities and other public institutions, are in the fields of mathematics and natural sciences, life sciences, and they carry out basic and applied research in the most diverse areas of the humanities and social sciences. The Scientific Council supports the work of the Governing Board, comments on proposals of strategic importance prepared for the Governing Board, prepares strategic proposals and carries out an annual evaluation and decides on the powers delegated to it by the Governing Board. More...
"Best Student Paper Award" received by Péter Pálos
Our student, Péter Pálos received Best Student Paper Award from the Committee of 44th International Conference on Telecommunications and Signal Processing (TSP). The honored paper titled "ReLight-WCTM: Multi-Agent Reinforcement Learning Approach for Traffic Light Control within a Realistic Traffic Simulation" investigates machine learning based approach for traffic light control in urban areas. More...
C-ITS/V2X R&D activities in our Laboratory
The V2X Communication Research Group of our Laboratory is contracted by Magyar Közút as a partner for the third year now involved in Cooperative Intelligent Transport Systems (C-ITS) harmonization, evaluation and deployment within the framework the European C-ROADS Platform. Besides that our research group is also a member of the two consortia led by Utiber and Roden to design the M9 and M76 smart motorways by the order of the National Infrastructure Developing Ltd. More...
Developing an intelligent transportation system in our Lab
We have launched in Hungary a new, government financed R&D project (funded by the the National Research, Development and Innovation Office) to develop an intelligent transportation system, a new solution for the needs of urban mobility based on artificial intelligence, which will enable substantial progress in real-life control of the city traffic. Our team is focusing on the stream processing of big data, machine vision and prediction of future traffic conditions, based on historical data, using machine learning and classification methods. More...
New members in our Lab
We proudly announce that this September the number of active members of the MEDIANETS laboratory has been increased by four (to 26 members): a research fellow and three PhD students have joined the team.
Péter A. Kara received his PhD degree from Kingston University in 2020. He was a research associate of the WMN Research Group in London, investigating the Quality of Experience (QoE) of UHD, HDR and autostereoscopic 3D visualization technologies. Simultaneously, he has also been working together with Holografika Ltd. on light field QoE. Besides QoE and light field, his research interests also include cognitive bias and crowdsourcing methodologies. More...