Forecasting Traffic Characteristics for Air Quality Analyses

Details

• Creators:
  Yu, Lei ; Qiao, Fengxiang ; Li, Guangchun ; Oey, Hong
• Corporate Creators:
  Texas Southern University. Dept. of Transportation Studies
• Corporate Contributors:
  Texas Department of Transportation. Research and Technology Implementation Office ; United States. Department of Transportation. Federal Highway Administration
• Subject/TRT Terms:
  Air Quality Exhaust Gases Forecasting Vehicle Miles Of Travel Vehicle Mix
• Publication/ Report Number:
  TX-02/4142-9
• Resource Type:
  Tech Report
• Geographical Coverage:
  United States ; Texas
• Edition:
  9/1/00-8/31/02
• Corporate Publisher:
  Texas. Department of Transportation
• Abstract:
  This research intends to develop techniques for estimating and forecasting three critical mobile source emission related travel indicators: vehicle age distribution, mileage accumulation rates by vehicle type, and vehicle miles traveled (VMT) & mix. As for modeling the vehicle age distribution, two model types were used; each of which contains the linear model, nonlinear model and time series model. Age distributions for the 8 counties in Houston-Galveston Area Council (HGAC) area and in EI Paso, Texas were used to validate the model structures and parameters. As for modeling the mileage accumulation rate, a practical algorithm for adjusting the default mileage accumulation rate for site-specific application based on a small sample field survey was developed. Applications in two Texas cities (Houston and EI Paso) were conducted and the whole operation process and its impacts on the estimates of emission factors were presented. As for VMT & mix, extensive efforts were made on collecting information on VMT & mix estimation. A nationwide survey through e-mail was conducted to ascertain what kinds of methodologies were used by other states. Accordingly, a practical improvement to the VMT & mix estimation methodologies was developed. Link volume estimates were modeled as the function of both the traffic count data and the link attributes. A case study in southwest Houston was illustrated to show the estimation process and the effectiveness of the proposed approach. Impact analysis shows that the emission factors generated by local improved VMT estimation are closer to the ideal one, and better than both the nationwide default and the Traffic Count Method.
• Format:
  PDF
• Funding:
  0-4142
• Collection(s):
  US Transportation Collection
• Main Document Checksum:
  urn:sha-512:554932cad5ec2294cc5e33bc819470f81a2be60e17b6a1cfe650cccd0857e47834b1f8c605b8af5d4e4daa7edbec2470d8db623d99cb2e85a2d100dbe402bfa3
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/87333/dot_87333_DS1.pdf
• File Type:
  [PDF - 2.10 MB ]