Emission and Noise Level Prediction on Mixed Traffic in Local Road, Indonesia

Abstract

In the context of transportation, sustainable development aims to create transportation systems that are efficient, environmentally friendly, and minimize negative impacts, including exhaust emissions and traffic noise. The same situation occurs on the local primary road, Indonesia. The aim of the research is to determine the value of emission prediction and noise level, and the relationship between vehicle type proportions to the prediction of emissions and noise levels on a 2-way and 2-lane undivided primary local road with mixed land use and mixed traffic. Primary data collection was conducted for 4 days. The guidelines used in this analysis are based on the Noise Level Prediction reference, Ministry of Public Works, Indonesia in 2004 and the 2010 Environmental Guidelines, Indonesia. The findings of study are that total vehicle emissions were 148,880 tons/hour, and the 1-hour noise level exceeded the standard noise quality threshold for commercial and public facility areas. Predictions of emissions and PNL increase along with the increase of number of traffic flow and the proportion of vehicle types that dominate the traffic. Conversely, the proportion of non-motorized vehicle, heavy vehicles, and light vehicle, as well as the space mean speed, has a negative impact on the prediction of emissions and PNL.