Optimize Pollutant Emissions through Adaptive Highway Management

The objective of this project is to assess the impact of adaptive highway management strategies on pollutant gas emissions through microscopic computer modeling. Our goal is to optimize the amount of pollutant gas emission by effectively utilizing the intelligent transportation system (ITS) technologies that have already been implemented in southern California. This research will suggest a series of strategies aiming to minimize pollutant gas emissions. The pollutant gas (e.g. carbon monoxide (CO), hydrocarbons (HC) and oxides of nitrogen (NOx)) from gasoline-based vehicles contributes greatly to smog and greenhouse effect. It has been found that the emission rate of those pollutant gases varies non-linearly with vehicle's speed. While vehicles move at relatively high speed (i.e. greater than 50 mph), the pollutant emission (especially CO emission) increases monotonically with speed of vehicle. On the other hand, when vehicles move at extremely low speed (i.e. less than 20 mph), the pollutant gas emission rate is reversely proportional to vehicle's speed. This non-linear behavior of gas emission indicates the possibility to optimize pollutant emission through smart speed and mobility control on urban corridors. Southern California has implemented ITS infrastructure over 2 decades ago, including freeway management system, incident management system as well as the recently implemented performance measurement system (PeMS). It is convenient to utilize those existing infrastructures to minimize the hazard pollutant gases from crowded urban areas through adaptive speed control and congestion control. One of the objectives of this project is to assess the possibility and effectiveness of pollutant control using ITS strategies. Although several traffic simulations tools are available commercially for both macroscopic and microscopic modeling of traffic problems, few of them takes into consideration the impact of adaptive highway management strategies on pollutant gases emission. In this project we will connect pollutant gas emission with highway mobility through a mathematical model and search for an optimized strategy to minimize the pollutant gas emission. The result of this project will provide detailed suggestions on practical setting parameters, such as optimal speed limits, threshold level-of-service as well as stop-run intervals of ramp meter.


  • English


  • Status: Active
  • Contract Numbers:


  • Sponsor Organizations:

    National Center for Metropolitan Transportation Research

    University of Southern California
    650 Childs Way, RGL 107
    Los Angeles, CA  United States  90089-0626
  • Project Managers:

    Valentine, Victoria

  • Performing Organizations:

    California State University, Long Beach

    1250 Bellflower Boulevard
    Long Beach, CA  United States  90840
  • Principal Investigators:

    Wang, Fei

  • Start Date: 20090816
  • Expected Completion Date: 0
  • Actual Completion Date: 0
  • Source Data: RiP Project 26529

Subject/Index Terms

Filing Info

  • Accession Number: 01461401
  • Record Type: Research project
  • Source Agency: National Center for Metropolitan Transportation Research
  • Contract Numbers: 10-25
  • Files: UTC, RiP
  • Created Date: Jan 3 2013 1:45PM