Noise Reduction in Train Traffic: Artificial Intelligence Detects Noise Emissions from Carriages as They Pass By
26 August, 2022
As part of a research project, the UAS Technikum Wien and the company psiacoustic are developing an AI system that can automatically identify carriages with high noise emissions based on acoustic measurement signals.
In the fight against climate change, it is necessary to shift traffic from road to rail on a large scale. Rail is one of the most environmentally friendly modes of transport, which is why numerous investments have been decided in recent years with the aim of increasing passenger numbers and thus also rail transport. However, this increase in rail traffic also increases noise emissions and the associated negative effects on the health and well-being of people and the environment.
This challenge is the starting point of a new research project of the University of Applied Sciences Technikum Wien (UASTW) together with psiacoustic Umweltforschung und Engineering GmbH. In the 18th call for proposals of the competitive funding programme “Mobility of the Future” of the Austrian Research Promotion Agency (FFG), the R&D application of the consortium qualified for funding.
Driving Past: Automatic Detection of Disruptive Influences
The ADSiM project – Automatic Detection of Disturbances in Railway Noise Monitoring Using AI – aims to develop a system that identifies carriages that contribute particularly strongly to noise pollution due to wear, braking or cornering noise. “For this purpose, an artificial intelligence is being developed that automatically assigns acoustic effects to the exact axis of the train when it passes an acramos measuring station,” explains Matthias Blaickner from the Artificial Intelligence & Data Analytics competence field of the Department Computer Science at the UASTW. Noisy cars can thus be identified and replaced immediately. In addition, the continuous, AI-based evaluation of the measurement signals enables predictive maintenance of the measuring stations themselves.
The research project will start in autumn. The project partners expect the results to yield interesting new findings in the field of artificial intelligence and its applications in the area of tension between mobility and sustainability.
UASTW Master’s Programs with Thematic Relevance
In line with the topic of the ADSiM project, the UAS Technikum Wien also has two subject-related educational programmes in its portfolio, the master’s degree programs AI Engineering and Data Science. Students receive comprehensive know-how on the topics of artificial intelligence and data analysis.
Download press photos: https://cloud.technikum-wien.at/s/MGKCiCP92tdNrTA
Media Inquiries & Contact
Head of PR, Content & Media
Marketing & Communications