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Road Traffic Noise Visualization Modeling in Two- and Three-Dimensional Space: A Review

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Recent Research on Geotechnical Engineering, Remote Sensing, Geophysics and Earthquake Seismology (MedGU 2022)

Part of the book series: Advances in Science, Technology & Innovation ((ASTI))

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Abstract

Traffic noise causes 90% of urban noise pollution. Visualizing noise is challenging. Three-dimensional (3D) space noise visualization reflects natural movement or acoustic dispersion. However, improving traffic noise visualization is hardly addressed. This review paper aims to fulfill the gap mentioned earlier. Noise models such as the Federal Highway Administration (U.S.), RLS-90 Model (Germany), Road Traffic Noise Prediction (U.K.), Stop and Go model (Thailand), and Henk de Kluijver model are compared and described. Noise is visualized using hotspots, contours, and building facades. The shape and direction of building facades do not affect 3D noise visualization. Traffic volume, composition, speed, road gradient, surface, ground covering, and distance to traffic sources affect noise. Green spaces absorb noise and provide acoustic relief. The 2D and 3D propagation should address noise screening and diffraction. Interpolating noise for visualization uses IDW, Kriging, and TIN. TIN outputs correct noise contours. Flat triangles must be avoided to remove unpredictable oscillation of interpolated noise levels in 3D space. For 2D noise visualization, raster cell size and noise level accuracy are essential. Noise interpolation requires 2 m minimum observation points. Plus, this review identifies the IDW distance weighted factor and the optimal Kriging variogram. Furthermore, this review suggests purple instead of red to denote high noise levels.

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Acknowledgements

This research was partially funded by UTM SPACE: UTM SPACE Contract Research Grant, Vot R.J130000.7752.4J550.

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Authors and Affiliations

  1. 3D GIS Research Lab, Faculty of Built Environment and Surveying, Universiti Teknologi Malaysia, Johor Bahru, 81310, Johor, Malaysia

    Nevil Wickramathilaka, Uznir Ujang, Suhaibah Azri & Salfarina Samsuddin

  2. Southern Campus, General Sir John Kotelawala Defence University, Edison Hill, Nugegalayaya, Sewanagala, Sri Lanka

    Nevil Wickramathilaka

Authors
  1. Nevil Wickramathilaka
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  2. Uznir Ujang
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  3. Suhaibah Azri
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  4. Salfarina Samsuddin
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Corresponding author

Correspondence to Nevil Wickramathilaka .

Editor information

Editors and Affiliations

  1. School of Sciences and Technology, University of Évora, Évora, Portugal

    Mourad Bezzeghoud

  2. Kütahya Dumlupınar University, Kütahya, Türkiye

    Zeynal Abiddin Ergüler

  3. University of Granada, Granada, Spain

    Jesús Rodrigo-Comino

  4. Malaviya National Institute of Technology, Jaipur, India

    Mahesh Kumar Jat

  5. School of Future Environments, Auckland University of Technology, Auckland, New Zealand

    Roohollah Kalatehjari

  6. Western Himalayan Regional Centre, National Institute of Hydrology, Jammu, India

    Deepak Singh Bisht

  7. Department of Geology, Institute of Science, Banaras Hindu University, Varanasi, Uttar Pradesh, India

    Arkoprovo Biswas

  8. School of Engineering (ISEP), Polytechnic of Porto, Porto, Portugal

    Helder I. Chaminé

  9. Universiti of Brunei Darussalam, Gadong, Brunei Darussalam

    Afroz Ahmad Shah

  10. Faculty of Geography and Geology, Institute of Geological Sciences, Jagiellonian University, Kraków, Poland

    Ahmed E. Radwan

  11. University of the Witwatersrand, Johannesburg, South Africa

    Jasper Knight

  12. National Technical University of Athens, Athens, Greece

    Dionysia Panagoulia

  13. Sfax National School of Engineering, University of Sfax, Sfax, Tunisia

    Amjad Kallel

  14. Bingol University, Bingöl, Türkiye

    Veysel Turan

  15. Higher National School of Forests, Khenchela, Algeria

    Haroun Chenchouni

  16. Istanbul Technical University, Istanbul, Türkiye

    Attila Ciner

  17. School of Science and Technology, University of Camerino, Camerino, Italy

    Matteo Gentilucci

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Wickramathilaka, N., Ujang, U., Azri, S., Samsuddin, S. (2024). Road Traffic Noise Visualization Modeling in Two- and Three-Dimensional Space: A Review. In: Bezzeghoud, M., et al. Recent Research on Geotechnical Engineering, Remote Sensing, Geophysics and Earthquake Seismology. MedGU 2022. Advances in Science, Technology & Innovation. Springer, Cham. https://doi.org/10.1007/978-3-031-48715-6_37

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