Airport Related Traffic and Mobile Emission Implications

This research intends to develop a microscopic framework to model the airport related traffic and emission implications. An approach to calibrate the driving behavior parameters of the traffic simulation model in the framework is proposed. A case study for Intercontinental Airport of Houston (IAH) is presented. The microscopic framework integrates a microscopic traffic simulation model and a modal emission model. A genetic algorithm (GA)-based calibration approach defines the index of simulation accuracy as the Sum of Squared Errors (SSE) between the collected speeds and the simulated speeds at the pre-defined cross-sections along the road. The computer program implementing the GA-based approach is developed to search for the optimal parameters values. The field speed data are collected using the Global Positioning System (GPS). It is found that the calibrated optimal values of the VISSIM driving behavior parameters result in a 50% decrease of the SSE value. The produced emissions of each vehicle show that the emission profiles reflect well the trends of the acceleration/deceleration. The emission results show that in the year 2002, the vehicles going in and out of IAH terminal area generated 2948 tons of CO2, 1.3 tons of HC, 13 tons of CO and 3.0 tons of NOx. These results can be referred to by urban transportation planners when they conduct the airport-involved travel demand forecasting. The microscopic framework can not only assist in the operational-level analysis of the mobile source emission implications around the airport, but also provide a powerful tool to assist in the overall airport design and planning. The GA-based calibration approach can be used not only for airport roads, but also for other road networks.

• Record URL:
  • https://library.ctr.utexas.edu/digitized/texasarchive/phase1/4317-3.pdf
• Record URL:
  • https://rosap.ntl.bts.gov/view/dot/84782
• Supplemental Notes:
  • Research project title: Airport Related Traffic and Mobile Emission Implications.
• Corporate Authors:

  Texas Southern University

  Department of Transportation Studies
  3100 Cleburne Avenue
  Houston, TX  United States  77004

  Texas Department of Transportation

  Research and Technology Implementation Office, P.O. Box 5080
  Austin, TX  United States  78763-5080

  Federal Highway Administration

  1200 New Jersey Avenue, SE
  Washington, DC  United States  20590
• Authors:
  • Yu, Lei
  • Li, Xiugang
  • Zhuo, Weijie
  • Wang, Xiubin
• Publication Date: 2003-12

Language

• English

Media Info

• Media Type: Digital/other
• Features: Appendices; Figures; References; Tables;
• Pagination: 150p

Subject/Index Terms

• TRT Terms: Accuracy; Airport planning; Airport traffic; Calibration; Carbon dioxide; Carbon monoxide; Case studies; Exhaust gases; Forecasting; Genetic algorithms; Global Positioning System; Hydrocarbons; Microsimulation; Nitrogen oxides; Speed data; Traffic simulation; Travel demand
• Identifier Terms: George Bush Intercontinental Airport; VISSIM (Computer model)
• Subject Areas: Aviation; Environment; Highways; Terminals and Facilities;

Filing Info

• Accession Number: 01001479
• Record Type: Publication
• Report/Paper Numbers: TX-03/4317, Research Report 4317-3
• Contract Numbers: 0-4317
• Files: NTL, TRIS, USDOT, STATEDOT
• Created Date: Jun 30 2005 4:30PM