# Prediction of Traffic Noise Levels at Signalized Four-Way Intersections in Makassar
> Wahyuny F.

URL kanonis: https://discover.unhas.ac.id/publications/prediction-of-traffic-noise-levels-at-signalized-four-way-intersections-in-makas
Jurnal / Konferensi: Engineering Technology and Applied Science Research
Tahun terbit: 2025
DOI: https://doi.org/10.48084/etasr.14327
ISSN: 22414487
Kuartil SJR: Q2
Citations: 0

## Authors
- Wahyuny F.

## Abstract
The current study predicted and mapped the traffic noise levels at four-way intersections of Dr. Ratulangi Street to Jenderal Sudirman Street in Makassar using SoundPLAN 9.0. Noise data were collected at six observation points over four days, covering both the working and non-working conditions. The results indicated that on the working days, the noise levels exceeded the urban standards and peaked at 76.49 dB at Point 4. On non-working days, the levels were generally lower, but in some points the noise was above the limit. The SoundPLAN 9.0 model achieved good accuracy, with low prediction error. The noise distribution maps revealed the highest concentrations near the intersection and along major approaches. This underscored the need for mitigation measures, such as optimized signal timing or noise barriers, to improve the environmental quality. The results also provided practical insights for integrating the noise management into the traffic regulation and urban planning policies in rapidly growing cities.

## Keywords
- Noise (video)
- Intersection (aeronautics)
- Traffic noise
- Transport engineering
- Point (geometry)
- Computer science
- Road traffic
- Roadway noise
- Noise pollution
- Distribution (mathematics)
- Environmental science
- SIGNAL (programming language)
- Noise measurement
- Geography
- Noise level
- Noise control
- Background noise
- Telecommunications
- Environmental noise
- Ambient noise level
- Statistics
- Signal-to-noise ratio (imaging)
- Urban region

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Sumber: Discover Unhas — RIMS Universitas Hasanuddin.
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