Modeling Truck Activity Using Short-Term Traffic Counts for Reliable Estimation of Heavy-Duty Truck Emissions in Urban Areas

The on-road motor related NOx and PM2.5 emissions are mostly due to heavy-duty truck travels. Current travel demand models cannot predict truck activity reliably as per emission model needs and the regression based models need large data samples. To solve this problem a Spatial Regression and Optimization Truck model (SROT) is proposed in this paper. As part of this model the authors have used bi-level modeling approach: the spatial regression level estimates truck volumes using limited number of samples and then optimization level improves the reliability of the output from regression model. To verify the applicability and reliability of this model the authors have used data from Cincinnati, Ohio. The truck model validation results and reasonableness checks indicated that the proposed model could predict truck activity more reliably than previous methods. The authors have also found that the truck emission inventories estimated using new derived truck activity are higher than default truck inputs. This proposed model is scalable and transferable to other regions in the United States to prepare better input for their MOVES model runs.

• Supplemental Notes:
  • This paper was sponsored by TRB committee ADC20 Transportation and Air Quality.
• Corporate Authors:

  Transportation Research Board

  500 Fifth Street, NW
  Washington, DC  United States  20001
• Authors:
  • Perugu, Harikishan
  • Wei, Heng
  • Yao, Zhuo
• Conference:
  • Transportation Research Board 93rd Annual Meeting
  • Location: Washington DC
  • Date: 2014-1-12 to 2014-1-16
• Date: 2014

Language

• English

Media Info

• Media Type: Digital/other
• Features: Figures; Maps; References; Tables;
• Pagination: 14p
• Monograph Title: TRB 93rd Annual Meeting Compendium of Papers

Subject/Index Terms

• TRT Terms: Estimating; Heavy duty trucks; Pollutants; Traffic counts; Trucking; Urban areas
• Geographic Terms: Cincinnati (Ohio)
• Subject Areas: Environment; Highways; Motor Carriers; I15: Environment;

Filing Info

• Accession Number: 01515495
• Record Type: Publication
• Report/Paper Numbers: 14-4350
• Files: TRIS, TRB, ATRI
• Created Date: Feb 24 2014 8:42AM