Model emission estimation of light vehicle based on the driving cycle with using moves program on national roads in Makassar city

Abstract

Abstract Traffic is one of the main sources of atmospheric pollution in cities around the globe and Athens is no exception. The tremendous increase in vehicles resulted in serious traffic problems consisting of frequent stops and intense driving (vigorous accelerations and decelerations). The increase in vehicles in urban areas caused by congestion and decreases air quality. Transportation emissions must be modeling more accurate to reduce the impact of air quality on roads. The purpose of this study was to analyze the emission estimation of a light vehicle based on the driving cycle using the moves program on national roads in Makassar city. The method of this research used the MOVES program, that program could calculate how many emissions was that resulted by vehicles. Furthermore, the survey of a light vehicle driving cycle was used GPS equipment and used AVANZA car as a light vehicle, which many people are using it in the city. The result showed that the emission along in Perintis Kemerdekaan on peak hour morning and afternoon, CO was the large pollutants than Nox and HC. The smallest pollutant is HC and the pollutant isn’t more than 0.055 gram/km in all way and peak hour. The biggest pollutant is CO in the morning peak hour in Away is 5.605 gram/km. The Average speed vs pollutants HC, Nox, and CO describes that the pollutant will decrease if the speed increase and the average speed was between 5 – 35 km/jam. The R 2 of model pollutant (gram/km) and average speed (km/jam) is more than 0.8 near than 1 means that the variable has a strong attachment.

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