Kaewunruen Sakdirat, Khairul Anuar Mohamad Ali Ridho Bin, Huang Junhui, Liu Hao
University of Birmingham, Birmingham, United Kingdom.
Sci Data. 2025 Feb 22;12(1):320. doi: 10.1038/s41597-025-04660-2.
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.
城市在社会和经济方面的发展，导致了火车利用率的提高和高密度出行。然而，这也导致了城市环境问题的升级，特别是与铁路运营产生的噪音有关的问题。车轮与铁轨之间加剧的接触，以及列车和轨道结构中的振动，都导致了铁路噪音污染。虽然已有关于铁路噪音的研究，但在专门针对铁路弯道处产生的噪音的调查方面仍存在显著差距。因此，本文呈现了110组有轨电车弯道噪音数据集，这些数据集是使用MOTIV应用程序按照ISO 3095:2013标准记录的。该数据集涵盖了撞击声、滚动声、轮缘声和尖叫声等噪音，以及速度、方向、人群密度和天气状况等参数。这些数据是通过记录有轨电车沿弯道行驶时在弯道中心线产生的噪音收集而来的。该综合数据集和分析为有轨电车弯道噪音提供了有价值的见解，有助于城市规划和噪音缓解工作。
