Traffic Noise Impact Prediction Based on Road Service Level

In this study, noise measurement was carried out on a section of Third Ring Road of Chengdu in China and the environmental parameters around the measuring point were collected besides the actual measurement. Coupled with the satellite map, the section was modeled and the noise impact prediction was employed using Cadna/A software, and the noise impact from 5:00 to 6:00?p.m. of a working day of in a week was evaluated based on the prediction of road service level. Results showed that evaluating only the overall level of the road service should be enough for predicting the noise impact based on the road service level. When using road service level to predict road noise, the relationship between road speed and traffic volume should be verified. If there is a conflict between reality and theory, the actual data should prevail in the prediction. Additionally, relevant road parameters should be collected when determining the road service level. The longer the duration of collecting evaluation parameters, the more accurate the determination of service level and the more accurate and applicable the prediction results.

• Record URL:
  https://doi.org/10.1177/03611981211067971
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/issn/03611981
• Supplemental Notes:
  • © National Academy of Sciences: Transportation Research Board 2022.
• Authors:
  • Su, Kai
  • Liao, Mingxu
  • Li, Linxiao
  • He, Yulong
  • Deng, Shaoqi
  • Deng, Xingquan
• Publication Date: 2022-5

Language

• English

Media Info

• Media Type: Web
• Features: References;
• Pagination: pp 480-488
• Serial:
  • Transportation Research Record: Journal of the Transportation Research Board
  • Volume: 2676
  • Issue Number: 5
  • Publisher: Sage Publications, Incorporated
  • ISSN: 0361-1981
  • EISSN: 2169-4052
  • Serial URL: http://journals.sagepub.com/home/trr

Subject/Index Terms

• TRT Terms: Forecasting; Level of service; Traffic noise
• Geographic Terms: Chengdu (China)
• Subject Areas: Environment; Highways; Operations and Traffic Management;

Filing Info

• Accession Number: 01833354
• Record Type: Publication
• Files: TRIS, TRB, ATRI
• Created Date: Jan 23 2022 4:02PM