Research project

Horizon Europe - QuieterRail – A step change in prediction, mapping, acceptance testing and cost-effective mitigation for railway noise and vibration

Project overview

Railway noise and vibration are persistent challenges, disrupting communities near rail lines and impacting public health. Traditional noise prediction models often overlook complex factors, such as curve noise and multiple wheel-rail contact points, leading to inadequate mitigation strategies.

Additionally, current vibration prediction methods lack precision in urban environments, where the impact is most severe. These gaps hinder efforts to create quieter, more sustainable rail systems.

The EU-funded QuieterRail project aims to revolutionise how railway noise and vibration are predicted, mapped, and mitigated. By enhancing existing models, developing new tools, and testing innovative technologies, QuieterRail seeks to provide cost-effective solutions that reduce these environmental impacts, ultimately improving the quality of life for those living near railways.

Staff

Lead researchers

Professor David Thompson MA PhD CEng FIMechE FIOA FHEA

Professor of Railway Noise and Vibration
Research interests
  • Low noise design in railways
  • Ground vibration and ground-borne noise
  • Aerodynamic noise from high-speed trains
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Other researchers

Professor Simon Blainey PhD, FRGS, FHEA, MCIHT, CMILT

Research interests
  • Rail demand and operations modelling
  • GIS and transport
  • Transport decision support systems
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Dr Giacomo Squicciarini

Associate Professor
Research interests
  • Theoretical modelling of rolling noise: predictions of noise radiated by a train wheel rolling on a rail.
  • Curve squeal: measurements and models for understanding and mitigating curve squeal noise.
  • Piano acoustics: experiments and numerical modelling of sound generation in pianos.
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Dr Marcus Young PhD

Research Fellow
Research interests
  • Application of GIS methods and techniques to research relating to public transport and active travel.
  • Development of open source tools for transport planning applications, for example the Station Demand Forecasting Tool and the GB Traffic Data Explorer.
  • Rail demand modelling and appraisal with a focus on developing improved aggregate models to forecast demand for new railway stations.
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Dr Qianqian Li

Research Fellow (QuieterRail project)
Research interests
  • Railway noise: rolling noise, curve squeal
  • Railway track modelling
  • Non-linear dynamic properties of resilient railway track components
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Collaborating research institutes, centres and groups

Research outputs