Abstract
The motorcycle domination on heterogeneous traffic situation in many cities in developing countries including Indonesia leads to the decreasing of environment qualities such noise pollution. Regarding the road traffic noise (RTN) pollution, this paper attempts to develop an empirical model for a RTN prediction model. The model based on a motorcycle unit as reference unit to consider flow rate of the road traffic which dominated by motorcycles. The study collected the RTN data such volume of each vehicle types, i.e., motorcycle; light vehicle; and high vehicle, and the noise level on the forty arterial roads in Makassar, Indonesia. The survey methods based on the traffic count method and the measurement noise level using a video camera and a sound level meter, respectively. We collected data during ten minutes of each one-hour period of each road. The empirical relationship models between the noise level and the traffic volume based on the motorcycle unit were developed using various types of regression models. The results showed that the polynomial model is more significant than the other models. We expected that the model provides a basic RTN prediction model in order to simulate some measures of the traffic management system in reducing the RTN level in Makassar City.
Highlights
Nowadays, the rapidly growth of the motorcycle population in many cities in developing countries has been generating traffic problems such traffic congestion, noise and air pollution [1, 2]
Addressed to road traffic noise emission, in particular for the heterogeneous traffic condition, Hustim et al [1] has conducted a survey for road traffic noise in Makassar City in Indonesia
In order to contribute in this research field, this paper attempts to develop an empirical model for a road traffic noise (RTN) prediction model
Summary
The rapidly growth of the motorcycle population in many cities in developing countries has been generating traffic problems such traffic congestion, noise and air pollution [1, 2]. Addressed to road traffic noise emission, in particular for the heterogeneous traffic condition, Hustim et al [1] has conducted a survey for road traffic noise in Makassar City in Indonesia. Hustim et all have focused to the effect of horn on noise level [2]. Hustim et all [2] developed the road traffic noise model prediction for heterogeneous traffic condition in Makassar City using ASJ-RTN Model approach. In order to contribute in this research field, this paper attempts to develop an empirical model for a RTN prediction model. The model based on a motorcycle unit as reference unit
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