Launch of the "EEBEO" research project to record traffic situations
On Friday, 12 December, Matthias Hauer, Parliamentary State Secretary at the Federal Minister of Research, Technology and Space, presented the funding decision for the research project "EEBEO" ("Decentralised embedded real-time observer for microscopic traffic state estimation") to scientists at Paderborn University. The aim of the project is to install a microscopic observer in traffic light systems in order to better record traffic situations. The Federal Ministry of Research, Technology and Space (BMFTR) is sponsoring the research project, which is based at the university's Heinz Nixdorf Institute, with around 854,000 euros over a period of three years.
From traffic lights to real-time traffic observers
Parliamentary State Secretary Hauer: "We not only want to promote new technologies, but also support them on their way to commercial success. With the High-Tech Agenda Germany, we are therefore taking measures to improve the transfer of research achievements to industry. With the VIP+ programme, we are building a bridge for scientists from all disciplines to take the first step from the world of research towards application and value creation. The programme is completely open to all topics and applications can be submitted at any time. The results from VIP+ are impressive - and I am delighted that the EEBEO project with its approach to real-time traffic observers in traffic lights is a promising success story. I wish the project team maximum success."
Rising traffic volumes and increasing urbanisation require more accurate methods for estimating traffic conditions. This is where the EEBEO research project comes in. The installation of a microscopic observer in traffic lights enables decentralised, precise and anonymous recording of the local traffic situation. The real-time observer is to be connected to existing control units via additional hardware. This allows data to be recorded independently of network latencies, i.e. delays or disruptions in data transmission. "The EEBEO project is a clear example of how scientific research and social added value go hand in hand. I would like to thank State Secretary Hauer and the BMFTR and, together with the project team, I am delighted about the funding and this important step towards future-oriented, technological innovation in traffic control," says Prof. Dr. Matthias Bauer, President of Paderborn University.
Researchers test intelligent traffic control under real-life conditions
As part of the project, laboratory and field demonstrators are being set up to test real-time operation under realistic conditions. During the visit to the Heinz Nixdorf Institute, the project team gave Parliamentary State Secretary Hauer a tour of the laboratory there and presented the project in more detail. The project is based on a patent for traffic monitoring from Paderborn University. "In addition to the technical integration, we are investigating the transferability to control systems from different manufacturers and also the practical benefits for traffic management," explains Prof. Dr. Ansgar Tr?chtler, Chair of "Control Engineering and Mechatronics" at the Heinz Nixdorf Institute. "We want to contribute to the further development of traffic systems in order to control traffic flows more efficiently in the future and reduce congestion. With EEBEO, we are therefore making a valuable contribution to more sustainable urban mobility solutions," adds Dr. Kevin Malena, team leader of the EEBEO project.
The research project is part of the BMFTR's "Validation of the technological and social innovation potential of scientific research - VIP+" funding programme. "VIP+" supports scientists in examining and proving the innovation potential of research results and developing possible areas of application. The funding provided by "VIP+" thus goes beyond purely scientific issues and serves to build bridges to subsequent application or utilisation.
Further information can be found on the project page or on the BMFTR website.
This text was translated automatically.
