AVs’ Impacts on Energy Demand and GHG Emissions

The potential impacts of automated vehicles (AVs) are far-reaching and complex. They include direct impacts on safety, vehicle operations, energy, environment, and personal mobility, as well as secondary impacts on travel behavior and land use. The objective of the proposed work is to examine the potential effects of automation on energy demand and greenhouse gases (GHG) emissions from vehicles. To achieve this, improved projections of future travel demand and patterns in response to AVs will be obtained using a behavioral experiment (survey and focus groups), and the energy and carbon intensity of vehicle travel will be estimated. A better understanding of the future demand for these new technologies can better support state agencies’ supply-related decisions, such as investments in new capacity, allocation of funding for maintenance activities, etc. Also, it can help to anticipate the physical impacts on infrastructure as well as the corresponding energy and environmental implications associated with a large diffusion of AVs.


    • English


    • Status: Active
    • Funding: $130000
    • 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 Connected and Automated Transportation

      University of Michigan, Ann Arbor
      Ann Arbor, MI  United States  48109
    • Performing Organizations:

      Purdue University, Lyles School of Civil Engineering

      550 Stadium Mall Drive
      West Lafayette, IN  United States  47907
    • Principal Investigators:

      Gkritza, Konstantina

    • Start Date: 20170301
    • Expected Completion Date: 20191231
    • Actual Completion Date: 0
    • USDOT Program: University Transportation Centers Program

    Subject/Index Terms

    Filing Info

    • Accession Number: 01645369
    • Record Type: Research project
    • Source Agency: Center for Connected and Automated Transportation
    • Contract Numbers: 69A3551747105
    • Files: UTC, RiP
    • Created Date: Aug 31 2017 12:33PM