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Automated noise modelling using a triangulated terrain model.

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Summary

This study introduces a new method for noise simulation, directly using Triangulated Irregular Networks (TIN) to generate noise propagation paths. This innovation automates 3D noise modeling, improving efficiency and data quality for environmental noise assessments.

Keywords:
3D urban applicationsCNOSSOS EU Directive on Noise AssessmentNoise modellingTINgeomatics

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Area of Science:

  • Environmental acoustics
  • Computational geography
  • Geographic Information Systems (GIS)

Background:

  • Current noise simulation software relies on 3D polylines for terrain height, which are difficult to automate.
  • Automating the generation of accurate height lines for noise simulation is a significant challenge.

Purpose of the Study:

  • To investigate the direct generation of noise propagation paths from Triangulated Irregular Networks (TIN) for 3D noise modeling.
  • To develop and validate a prototype for automated noise simulation using TIN data, bypassing the need for height lines.

Main Methods:

  • Developed algorithms to generate noise propagation paths directly from TIN data, incorporating building information and terrain absorption properties.
  • Utilized the Common Noise Assessment Methods in Europe (CNOSSOS-EU) 3D noise modeling guidelines.
  • Implemented and tested a prototype system on two real-world scenarios in the Netherlands.

Main Results:

  • Successfully generated and validated noise propagation paths directly from TIN data.
  • Demonstrated that TIN can serve as effective input for noise simulation, offering better data quality control than height lines.
  • The developed prototype shows promise for automating 3D noise modeling.

Conclusions:

  • Directly generating noise propagation paths from TIN is a viable and efficient alternative to using height lines in noise simulation.
  • The developed method enhances automation in 3D noise modeling, aligning with CNOSSOS-EU standards and applicable across the European Union.