/Courtesy of Neuradyme

AI prediction technology corporation "Neurodime" announced on the 12th that its AI-based traffic control system "AITOBAHN" has proven effective in solving urban traffic congestion and carbon emission issues during a pilot project led by the Ministry of Land, Infrastructure and Transport.

AITOBAHN was selected for a regulatory sandbox smart pilot project organized by the Ministry of Land, Infrastructure and Transport and supported by the Korea Agency for Infrastructure Technology Advancement, where its technological capabilities were validated. The pilot project conducted in Jeju showed remarkable results, with three intersections, including the Oiljang intersection in Jeju City, selected as testing areas. The project has been ongoing since 2023 for two years, and the effectiveness of traffic flow improvement was verified through an evaluation by a third-party institution from Korea National University of Transportation.

According to Neurodime, AITOBAHN improved the average traffic flow in the implemented areas by 17 to 24%, and the average control delay time at intersections was significantly reduced to 3.8 seconds per vehicle. This has resulted in a reduction in carbon emissions, yielding an average carbon reduction effect of 4 to 6%.

The system also demonstrated economic benefits. Neurodime analyzed that AITOBAHN has generated an annual economic benefit of 480 million won by reducing travel time.

Koh Young, the representative of Neurodime, noted, "AITOBAHN has the potential to contribute to achieving national carbon neutrality goals by improving traffic flow. We expect AITOBAHN to be expanded nationwide within 1 to 2 years, and we are currently discussing specific service implementations with partners in three overseas countries."

Meanwhile, Neurodime is a corporation established with a research team from Samsung Advanced Institute of Technology, focusing on the development of AI and other technologies. It has been evaluated as having competitive technology in the fields of traffic and healthcare, based on five years of accumulated AI prediction engine technology.

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