Heavy-Duty Diesel Truck Emissions Modeling

Heavy-duty vehicles are the second-largest source of greenhouse gas emissions and energy use within the transportation sector even though they represent only a small portion of on-road vehicles. Heavy-duty diesel vehicles (HDDVs) emit about half of all on-road emissions of nitrogen oxide (NOₓ). However, because of the limited amount of HDDV emissions data, research has focused on light-duty vehicle emissions. The majority of these microscopic models suffer from two major limitations: the models result in a bang-bang control system and calibration of the model parameters is not possible with publicly available data. This paper proposes to extend the Virginia Tech Comprehensive Power-Based Fuel Consumption Model (VT-CPFM) to overcome the two shortcomings in state-of-the-practice HDDV emissions models of carbon monoxide (CO), hydrocarbons (HCs), and NOₓ. Heavy-duty diesel truck (HDDT) data from the University of California, Riverside, were used for the calibration and validation processes. The study’s results were satisfying, especially for NOₓ, which was the main concern in HDDV emissions. Model validity and performance were evaluated by comparing the correlation of measured field data and estimated emissions between the VT-CPFM model and the comprehensive modal emissions model (CMEM). The results demonstrate the efficacy of the VT-CPFM model in replicating empirical observations producing better accuracy compared with other state-of-the-practice models (e.g., CMEM). Moreover, unlike the CMEM model, which requires extensive data collection for calibration purposes, the VT-CPFM model needs only GPS and publicly accessible data for calibration.

• Record URL:
  https://doi.org/10.3141/2627-04
• Availability:
  • Find a library where document is available. Order URL: http://worldcat.org/isbn/9780309441957
• Authors:
  • Abdelmegeed, Mohamed A Elbadawy
  • Rakha, Hesham
• Publication Date: 2017

Language

• English

Media Info

• Media Type: Digital/other
• Features: Figures; References; Tables;
• Pagination: pp 26–35
• Monograph Title: Air Quality
• Serial:
  • Transportation Research Record: Journal of the Transportation Research Board
  • Issue Number: 2627
  • Publisher: Transportation Research Board
  • ISSN: 0361-1981

Subject/Index Terms

• TRT Terms: Diesel trucks; Environmental impacts; Greenhouse gases; Heavy duty trucks; Nitrogen oxides; Pollutants
• Subject Areas: Energy; Environment; Freight Transportation; Highways;

Filing Info

• Accession Number: 01623399
• Record Type: Publication
• ISBN: 9780309441957
• Report/Paper Numbers: 17-00855
• Files: TRIS, TRB, ATRI
• Created Date: Jan 24 2017 3:32PM