Quantifying Traffic Congestion-Induced Change of Near-road Air Pollutant Concentration

Traffic congestion (either recurrent or non-recurrent) exacerbates the ambient air pollution by contributing a large amount of additional fuel consumption and tailpipe emissions. However, the relationship between the traffic condition and local (e.g., near-road) air pollutant concentration is not well quantified in previous literature. For example, there is a knowledge gap in understanding the impacts of traffic congestion on the degradation of local air quality. The primary goal of this study is to quantify the contributions to the ambient air quality degradation due to traffic congestion, based on statistical methods. First, the air quality measurement data at a fine temporal resolution (e.g. 1-minute or 5-minute) will be requested from a near-road air quality monitoring station. Then, the air quality data, traffic activities, and weather parameters will be integrated into a database. The research team proposes to apply a nonparametric regression technique (e.g., Multivariate Adaptive Regression Splines (MARS) model) to the integrated database for further exploring the influential factors of traffic congestion for air pollutant concentration. The project results can further be used to guide the policy and decision making to mitigate the negative effects on air quality by traffic activities, and provide a foundation to evaluate the proactive strategies/applications at both the vehicle/power-train level and traffic level.


    • English


    • Status: Completed
    • Funding: $75000
    • Contract Numbers:


    • Sponsor Organizations:

      Office of the Assistant Secretary for Research and Technology

      University Transportation Centers Program
      Department of Transportation
      Washington, DC  United States  20590
    • Managing Organizations:

      Center for Advancing Research in Transportation Emissions, Energy, and Health

      Texas A&M Transportation Institute
      College Station, TX  United States  77843
    • Project Managers:

      Walker, Marcia

    • Performing Organizations:

      University of California, Riverside

      1084 Columbia Ave.
      Riverside, CA  United States  92507
    • Principal Investigators:

      Luo, Jill

      Wu, Guoyuan

    • Start Date: 20180201
    • Expected Completion Date: 20190331
    • Actual Completion Date: 0
    • USDOT Program: University Transportation Centers Program
    • Source Data: UCR-01-15

    Subject/Index Terms

    Filing Info

    • Accession Number: 01672110
    • Record Type: Research project
    • Source Agency: Center for Advancing Research in Transportation Emissions, Energy, and Health
    • Contract Numbers: 69A3551747128
    • Files: UTC, RiP
    • Created Date: Jun 14 2018 5:04PM