Skip to main content

MEDIANETS traffic prediction for Istanbul

The project, called the Multi-Input Deep Learning for Congestion Prediction and Traffic Light Control – TRALICO - is being developed in Hungary in partnership with Istanbul IT and Smart City Technologies and the Nara Institute of Science from Japan.
By David Arminas February 23, 2024 Read time: 2 mins
Heavy traffic along Ataturk Boulevard in Istanbul, Turkey, might be reduced if the MEDIANETS project to predict traffic congestion is a success (image © Anna Yordanova/Dreamstime)

MEDIANETS Lab in Hungary says it will develop a traffic congestion forecast and control system that will use artificial intelligence, AI, to control traffic lights.

The project, called Multi-Input Deep Learning for Congestion Prediction and Traffic Light Control – TRALICO - is being developed with the Istanbul IT and Smart City Technologies company in Turkey and the Nara Institute of Science and Technology in Japan.

According to Hungarian media reports, the there is no similar solution being tested in real life situations in any large urban environment in Europe or Japan. A key objective of the project is to run the solution in real life traffic conditions in Istanbul.

The three-year project will be coordinated by Vilmos Simon, head of MEDIANETS Lab which is part of the Department of Networked Systems and Services within the Faculty of Electrical Engineering and Informatics at Budapest University of Technology and Economics. BME, as the university is known, is is a public research university located in the capital Budapest.

MEDIANETS - Multimedia Networks and Services Laboratory - specialises in applying artificial intelligence to smart city environments. Research and development activities include machine learning and data analytics for intelligent and automated cities, V2X communication and intelligent transportation systems. MEDIANETS says that it is active in a significant number of European and national research projects.

The Nara Institute of Science and Technology is a Japanese national university located in Kansai Science City located between the cities of Nara, Osaka and Kyoto. It focuses on information science, biological sciences and materials science research.

Meanwhile, the company Istanbul IT and Smart City Technologies was founded in 1986 by the Istanbul Metropolitan Municipality to provide maintenance and repair to its vehicle fleets and carry out traffic signalling services for the city. Upon establishment of a research and development department in 1995, it expanded its activities to include intelligent transportation systems, especially traffic signalling.

MEDIANETS and the project were selected for funding under the European Interest Group CONCERT-Japan programme, an international initiative to support and enhance science, technology and innovation, especially in the energy and environment sectors, between the European region and Japan. The primary function is to organise joint European-Japanese research calls for proposals and other research-related activities with the aim to enhance cooperation and exchanges between the two regions. EIG CONCERT-Japan membership is made up of a number of funding agencies and ministries in Europe and Japan and works as an independent body.

Related Content

  • Largest field trial worldwide of car-to-x communication
    April 27, 2012
    A research consortium headed by Daimler AG has claimed a breakthrough in the wireless exchange of information among vehicles and between vehicles and the traffic infrastructure. Following three years of intensive research work, Daimler is presenting the current status of the Sim project in Germany together with the involved project partners. It is also announcing the launch of what it claims is the largest field trial for car-to-x communication worldwide: from the spring of 2012, around 120 vehicles will be
  • Europe’s COVID escape route
    April 2, 2021
    The European Union’s COVID recovery budget and its NextGenerationEU programme are major opportunities for national, regional and local road authorities, says Jose Diez*.
  • SequoIA to use DAS for traffic management
    January 19, 2024
    SequoIA Analytics, a startup company within France’s Inria - National Research Institute for Digital Science and Technology – is using fibre-optic cable to provide better traffic data.
  • New traffic data collection and comms device
    April 20, 2012
    Smart Signal Technologies has launched what it claims is a remarkable new product that will save taxpayers millions of dollars annually as it improves traffic signal performance along congested signalised arterial corridors. The product, a compact device with powerful data collection and communication features, permits the gathering of high resolution data for processing into actionable real-time information to measure and monitor signal and corridor performance. Using unique AdaptiTrol technology licenc