In-Depth Analysis of Tram Curve Noise Dataset for Rigorous Noise Assessment.

The growth of cities, both socially and economically, has resulted in a higher utilization of trains and high-density mobility. However, this has also led to an escalation of urban environmental issues, specifically pertaining to noise generated by rail operations. The amplified contact between wheels and rails, as well as the vibrations in trains and track structures, contributes to railway noise pollution. While there is existing research on railway noise, there remains a notable gap in the investigation of noise generated specifically at curved sections of railway tracks. Hence, this paper presents 110 sets of tram curve noise datasets, recorded with the MOTIV APP in accordance with ISO 3095:2013 standards. The dataset covers impact, rolling, flanging, and squeal noise, alongside parameters such as speed, direction, crowd levels, and weather conditions. The data are collected by recording the noise generated by the trams at the centre of the curve alignment when the trams traverse along the curve alignment. The comprehensive dataset and analysis contribute valuable insights into tram curve noise, aiding urban planning and noise mitigation efforts.