Abstract Diesel trucks are the primary source of PM2.5 and NOX. However, current methods for estimating real-world truck emissions rely on uniform emission factors, disregarding essential factors that could vary by the trip purpose, such as load status, empty-load rate, driving behavior, etc. Thus, this study decomposes the relationship between trip and emissions through the trip chain perspective by analyzing massive trajectory data. It introduces a method to calculate on-road truck emissions considering different trip purposes and the shift in load states between purposes. Results indicate that the real-world emissions from heavy-duty diesel trucks vary significantly by trip purpose, with the highest variations in the emission factors for NOX and PM2.5 exceeding 21.06% and 14.24%, respectively. Comparison with previous studies demonstrates the high accuracy and reliability of our proposed method for estimating truck emissions when accounting for different trip purposes.
Variation of truck emission by trip purposes: Cases by real-world trajectory data
2023-08-16
Article (Journal)
Electronic Resource
English
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