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Universitas Hasanuddin
Research output:Contribution to journalArticlepeer-review

Prediction of Traffic Noise Levels at Signalized Four-Way Intersections in Makassar

Wahyuny F.

Engineering Technology and Applied Science Research

Q2
Published: 2025

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.

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10.48084/etasr.14327

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Noise (video)Sciences
Intersection (aeronautics)Sciences
Traffic noiseSciences
Transport engineeringSciences
Point (geometry)Sciences
Computer scienceSciences
Road trafficSciences
Roadway noiseSciences
Noise pollutionSciences
Distribution (mathematics)Sciences
Environmental scienceSciences
SIGNAL (programming language)Sciences
Noise measurementSciences
GeographySciences
Noise levelSciences
Noise controlSciences
Background noiseSciences
TelecommunicationsSciences
Environmental noiseSciences
Ambient noise levelSciences
StatisticsSciences
Signal-to-noise ratio (imaging)Sciences
Urban regionSciences