Integrating a Simplified Emission Estimation Model and Mesoscopic Dynamic Traffic Simulator to Efficiently Evaluate Emission Impacts of Traffic Management Strategies

This paper presents a computationally efficient and theoretically rigorous dynamic traffic assignment (DTA) model and its solution algorithm for a number of emerging emissions and fuel consumption related applications that require both effective microscopic and macroscopic traffic stream representations. The proposed model embeds a set of consistent cross-resolution traffic state representation based on Newell’s simplified kinematic wave and linear car following models. Tightly coupled with a computationally efficient emission estimation package MOVES Lite, a mesoscopic simulation-based dynamic network loading framework is adapted to evaluate traffic dynamics and vehicle emission/fuel consumption impact of different traffic management strategies.

  • Supplemental Notes:
    • This paper was sponsored by TRB committee ADC20 Transportation and Air Quality. Alternate title: Integrating Simplified Emission Estimation Model and Mesoscopic Dynamic Traffic Simulator to Evaluate Emission Impacts of Traffic Management Strategies
  • Corporate Authors:

    Transportation Research Board

    500 Fifth Street, NW
    Washington, DC  United States  20001
  • Authors:
    • Zhou, Xuesong
    • Lei, Hao
    • Taylor, Jeffrey
    • Liu, Bin
    • Rouphail, Nagui M
    • Frey, H Christopher
  • Conference:
  • Date: 2014

Language

  • English

Media Info

  • Media Type: Digital/other
  • Features: Figures; Maps; References; Tables;
  • Pagination: 17p
  • Monograph Title: TRB 93rd Annual Meeting Compendium of Papers

Subject/Index Terms

Filing Info

  • Accession Number: 01515452
  • Record Type: Publication
  • Report/Paper Numbers: 14-4968
  • Files: TRIS, TRB, ATRI
  • Created Date: Feb 24 2014 8:42AM