Rapid method for binary image-based road traffic noise mapping

Generally, when generating noise maps, the Weiler-Atherton algorithm is employed for polygon intersection calculations to estimate building obstruction attenuation. However, for larger areas, the computational efficiency of this method heavily depends on computational power and expensive hardware. To address these challenges, the authors' method employs binary images to streamline the calculation of intersection area between the building polygon and the noise propagation path, thereby improving computational efficiency. The proposed method consists of two features: converting polygon shapefiles into binary images and subsequently applying the Bresenham Algorithm to calculate building occlusion attenuation. The authors' study demonstrated that this approach reduced the calculation time to 39.1 % of the original duration, with a mean absolute discrepancy between the two methods of 0.77 dB(A). By utilizing the proposed method to generate noise maps with comparable accuracy, the authors' approach offers an attractive alternative that reduces hardware requirements.

• Record URL:
  • https://doi.org/10.1016/j.trd.2024.104392
• Record URL:
  • http://www.sciencedirect.com/science/article/pii/S1361920924003493
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/13619209
• Supplemental Notes:
  • © 2024 Elsevier Ltd. All rights are reserved, including those for text and data mining, AI training, and similar technologies. Abstract reprinted with permission of Elsevier.
• Authors:
  • Xue, Wangxing
  • Liang, Changde
  • Hao, Mai
  • Cai, Ming
• Publication Date: 2024-10

Language

• English

Media Info

• Media Type: Web
• Features: References;
• Pagination: 104392
• Serial:
  • Transportation Research Part D: Transport and Environment
  • Volume: 135
  • Issue Number: 0
  • Publisher: Elsevier
  • ISSN: 1361-9209
  • Serial URL: http://www.sciencedirect.com/science/journal/13619209

Subject/Index Terms

• TRT Terms: Algorithms; Imagery; Mapping; Strategic planning; Traffic noise
• Subject Areas: Environment; Highways;

Filing Info

• Accession Number: 01930089
• Record Type: Publication
• Files: TRIS
• Created Date: Sep 13 2024 10:33AM