Dynamic Traffic Assignment vs. Frank-Wolfe Route Assignment Impacts on Emissions and Energy Inventories

The Frank-Wolfe algorithm is a common static traffic assignment (STA) solution used in travel demand models. Frank-Wolfe algorithms are capable of finding efficient solutions at a large scale due to their efficient computational nature. However, STA algorithms are generally criticized for: (1) their failure to address complex traffic flow phenomena, such as the formation and propagation of queues affecting corridor travel time; (2) only indirectly accounting for the impacts of corridor-level traffic control systems; and (3) the assumption that the least-cost path selection is based on a uniform cost function which applies to all users (irrespective of trip purpose, demographics, employment type, etc.). Dynamic traffic assignment (DTA) models are designed to resolve the problems identified above, but they require much greater computational resources, calibration efforts, and preparation of high-resolution data. In this research, the team will implement the Frank-Wolfe algorithm and DTA with the same travel demand model input data to generate two sets of travel paths. The team will comparatively assess the energy use and emissions impacts of these two distinctly different traffic assignment algorithms and their resulting travel paths sets by applying MOVES-Matrix (to generate exact same output with MOVES).

Language

  • English

Project

  • Status: Terminated
  • Funding: $120000
  • Contract Numbers:

    DOT 69A3551747114

  • Sponsor Organizations:

    National Center for Sustainable Transportation

    University of California, Davis
    Davis, CA  United States 

    Office of the Assistant Secretary for Research and Technology

    University Transportation Centers Program
    Department of Transportation
    Washington, DC  United States  20590

    Georgia State Road and Tollway Authority

    Atlanta,   United States 
  • Managing Organizations:

    National Center for Sustainable Transportation

    University of California, Davis
    Davis, CA  United States 

    Georgia Institute of Technology, Atlanta

    790 Atlantic Drive
    Atlanta, GA  United States  30332-0355
  • Project Managers:

    Iacobucci, Lauren

  • Performing Organizations:

    National Center for Sustainable Transportation

    University of California, Davis
    Davis, CA  United States 

    Georgia Institute of Technology, Atlanta

    790 Atlantic Drive
    Atlanta, GA  United States  30332-0355
  • Principal Investigators:

    Rodgers, Michael

    Guensler, Randall

  • Start Date: 20201001
  • Expected Completion Date: 20210930
  • Actual Completion Date: 0
  • USDOT Program: University Transportation Centers

Subject/Index Terms

Filing Info

  • Accession Number: 01762869
  • Record Type: Research project
  • Source Agency: National Center for Sustainable Transportation
  • Contract Numbers: DOT 69A3551747114
  • Files: UTC, RIP
  • Created Date: Jan 27 2021 6:57PM