2513105 – Seminar: New Trends in Artificial Intelligence Techniques for Noise Prediction (Master)

Description: Road traffic noise (RTN) is a significant environmental pollutant encountered in daily life, with profound effects on human health. Extensive research has empirically validated its detrimental effects on well-being, including cardiovascular and mental health effects (Stansfeld et al., 2021; Lan et al., 2020). Furthermore, regulatory bodies have proposed guidelines and regulations (WHO, 2018; EU, 2019) to mitigate environmental noise exposure, prompting stakeholders such as vehicle manufacturers to incorporate road traffic noise measures into their design frameworks. In this seminar, we move away from the regulatory perspective on RTN and instead delve into understanding it through data analysis and other techniques. Specifically, we present a guideline for understanding this societal concern and discuss existing approaches to road traffic noise prediction (RTNP), in particular traffic and tire-road noise prediction and improvement based on data science and machine learning. Topics: Introduction to RTN Overview on RTNM Time series analysis Data exploration and visualization Machine learning for RTNM Sound feature extraction and analysis Structure: Four lectures at the beginning of the semester students on the waiting list can come to the first lecture as well and if a registered student does not come, they can get the place Students have 4-week time after the first lecture to provide their own proposal, distribution will be decided based on first come first serve, ensuring that core topics are covered. (If students already have a preferred topic, they can email us the topics they prefer after the registration instead and we will try to consider them in the overall distribution decision at the beginning of the seminar when all students have decided on a priority) Students have time to work on the report and presentation during the semester Present each bi week the progress (10 min), i.e., project issue discussion Presentations are done in blocks of 2 students per class, starting mid-June, presentations will be submitted at the day of the scheduled presentation Reference: Stansfeld, S., Clark, C., Smuk, M., Gallacher, J., & Babisch, W. (2021). Road traffic noise, noise sensitivity, noise annoyance, psychological and physical health and mortality. Environmental Health, 20, 1-15. Lan, Y., Roberts, H., Kwan, M. P., & Helbich, M. (2020). Transportation noise exposure and anxiety: A systematic review and meta-analysis. Environmental research, 191, 110118. WHO. (2018) Environmental Noise Guidelines for the European Region. EU (2019) Regulation (EU) No 540/2014 of the European Parliament and of the Council of 16 April 2014 on the Sound Level of Motor Vehicles and of Replacement Silencing Systems, and Amending Directive 2007/46/EC and Repealing Directive 70/157/EEC.