Analyze the Impact of Traffic on Air Quality and Select Appropriate ITS Strategies for Emissions Mitigation

This report presents a framework for analyzing the air quality impact of transportation sector and selecting appropriate Intelligent Transportation Systems (ITS) strategies to reduce mobile source emissions. First within a geographic information systems (GIS) framework, the mobile source emissions are estimated on the basis of vehicle fleet composition, emission factors and traffic characteristics. Then, a concise four-step method is proposed to select ITS strategies to reduce traffic emissions according to the Federal Highway Administration ITS planning process version 2.1. Following the four-step method, the appropriate ITS strategies can be identified and their potential benefits and impact can be evaluated. In this study, the emission problems are defined based on the emissions modeling within a GIS framework. The ITS strategies are screened under the guidance of the National ITS Architecture. The identified ITS strategies are evaluated by doing experiments with ITS Deployment Analysis System (IDAS). A case study was performed in Austin, TX. It shows that the proposed emissions modeling method and the ITS strategy selection method is very helpful for regional ITS planning and evaluation. The methods and results from this report will be very useful for decision-makings in ITS investments and deployments.

  • Record URL:
  • Supplemental Notes:
    • This research was supported by a grant from the U.S. Department of Transportation, University Transportation Centers program to the Southwest University Transportation Center, which is funded 50% with general revenue funds from the State of Texas.
  • Corporate Authors:

    University of Texas, Austin

    Center for Transportation Research, 3208 Red River Street
    Austin, TX  United States  78705

    Southwest Region University Transportation Center

    Texas A&M University
    3135 TAMU
    College Station, TX  United States  77843-3135
  • Authors:
    • Wang, Zhong
    • Walton, C Michael
  • Publication Date: 2004-11

Language

  • English

Media Info

  • Media Type: Print
  • Features: Appendices; Figures; References; Tables;
  • Pagination: 96p

Subject/Index Terms

Filing Info

  • Accession Number: 01005793
  • Record Type: Publication
  • Report/Paper Numbers: SWUTC/04/167829-1
  • Contract Numbers: 10727 (Grant)
  • Files: TRIS
  • Created Date: Oct 16 2005 10:23AM