ESTIMATION OF CARBON DIOXIDE EMISSIONS ON HETEROGENEOUS TRAFFIC BASED ON METROPOLITAN TRAFFIC EMISSIONS INVENTORY MODEL
| Autor: | Sumarni Hamid Aly, Zulfiani Arifin, Muhammad Isran Ramli |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
Estimation
Environmental Engineering Future studies Meteorology Soil Science Building and Construction Geotechnical Engineering and Engineering Geology Metropolitan area Travel time chemistry.chemical_compound Volume (thermodynamics) chemistry Carbon dioxide Environmental science Linear correlation Driving cycle |
| Zdroj: | International Journal of GEOMATE. 21 |
| ISSN: | 2186-2990 2186-2982 |
| DOI: | 10.21660/2021.83.j2105 |
| Popis: | Traffic on the arterial roads of Makassar City is categorized as heterogeneous traffic and can increase motor vehicle emissions. This study aims to estimate CO2 emissions from vehicles during morning and evening rush-hour traffic on nine arterial roads. This study used the MARNI model approach, which is a prediction model of vehicle emissions in heterogeneous traffic based on moving vehicles, and adapted it to the International Vehicle Emission Model (IVEM). The four factors that are considered to predict vehicle emissions are emission factors, driving cycle as a reference for vehicle speed, vehicle operational characteristics, and travel time. As a result, from 31 vehicle categories, the highest CO2 emissions are CV24: MPFI, 3 Way/EGR, Medium, and 0–6 years. The highest and lowest vehicle volumes and total CO2 emissions occurred on the RD3 and RD5 roads, respectively. This indicates a linear correlation between the vehicle volume and the levels of CO2 emissions. For future studies, the MARNI model can be used as a reference for predicting the emissions of motorcycles and heavy vehicles. |
| Databáze: | OpenAIRE |
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