# Road Traffic Noise Analysis at Unsignalized Intersection in Makassar City
> Hustim M.

URL kanonis: https://discover.unhas.ac.id/publications/road-traffic-noise-analysis-at-unsignalized-intersection-in-makassar-city
Jurnal / Konferensi: Aip Conference Proceedings
Tahun terbit: 2022
DOI: https://doi.org/10.1063/5.0095082
ISSN: 0094243X
Citations: 0

## Authors
- Hustim M.

## Abstract
The transportation sector has become a very important part in supporting community activities. The development of existing transportation must be balanced with the growth of roads, otherwise several problems will arise, one of which is noise pollution as a problem. This study aims to analyze the noise level at 14 observation points and to predict the noise level using the CoRTN (Calculation of Road Traffic Noise) method. Noise level measurements were carried out for 12 hours from 07.00 to 18.00 with 10 minutes of sampling from each hour using SLM TM-103. Meanwhile, for the prediction of the CoRTN method, the variables of vehicle volume and vehicle speed are used. The results show the average of noise level for all measurement points is 80.62dB. This value has exceeded the technical limit of the road capacity, which is between 63.2 dB to 76.0 dB, although the minimum result of noise level measurement 77.6 dB is still higher than the standard. From the noise prediction result, the average noise level is 77.9 dB. The comparison showed the measurement and prediction had under 3 dB difference, so that the measurement data and prediction models can be well received based on the statistic test.

## Keywords
- Noise (video)
- Statistic
- Noise measurement
- Traffic noise
- Intersection (aeronautics)
- Statistics
- Traffic volume
- Noise pollution
- Computer science
- Road traffic
- Noise level
- Transport engineering
- Roadway noise
- Environmental science
- Telecommunications
- Mathematics
- Engineering
- Noise reduction
- Artificial intelligence
- Sound pressure
- Image (mathematics)

---
Sumber: Discover Unhas — RIMS Universitas Hasanuddin.
Saat mengutip, gunakan DOI bila tersedia atau URL kanonis di atas.