# Road traffic noise prediction model for heterogeneous traffic based on ASJ-RTN Model 2008 with consideration of horn
> Hustim M.

URL kanonis: https://discover.unhas.ac.id/publications/road-traffic-noise-prediction-model-for-heterogeneous-traffic-based-on-asj-rtn-m
Jurnal / Konferensi: Iop Conference Series Earth and Environmental Science
Tahun terbit: 2018
DOI: https://doi.org/10.1088/1755-1315/140/1/012082
ISSN: 17551307
Citations: 4

## Authors
- Hustim M.

## Abstract
This research aimed to predict the noise produced by the traffic in the road network in Makassar City using ASJ-RTN Model 2008 by calculating the horn sound. Observations were taken at 37 survey points on road side. The observations were conducted at 06.00 - 18.00 and 06.00 - 21.00 which research objects were motorcycle (MC), light vehicle (LV) and heavy vehicle (HV). The observed data were traffic volume, vehicle speed, number of horn and traffic noise using Sound Level Meter Tenmars TM-103. The research result indicates that prediction noise model by calculating the horn sound produces the average noise level value of 78.5 dB having the Pearson's correlation and RMSE of 0.95 and 0.87. Therefore, ASJ-RTN Model 2008 prediction model by calculating the horn sound is said to be sufficiently good for predicting noise level.

## Keywords
- French horn
- Noise (video)
- Traffic noise
- Simulation
- Computer science
- Acoustics
- Noise reduction
- Physics
- Artificial intelligence
- Image (mathematics)

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