Enhanced Methodology for Exploring Autonomy-enabled Multi-mode Regional Transportation

Increasing the level of autonomy in both small aircraft and automobile has the potential to generate greater efficiency and utility in multimodal regional transportation systems. In previous research, the PI and collaborators developed a computational analysis framework to assess the impact of aircraft technology advancement in electric propulsion and autonomy on the future of on-demand, regional air transportation system. A sensitivity analysis revealed increasing level of autonomy and an improved ride-sharing model (on the ground and in the air) could lead to significant increase in the total number of individuals who could afford this new mode of transportation. Activities in the proposed project would enhance our current computational framework with models for autonomous automobile option and thereby take a holistic approach to evaluate the impact of autonomy at a multi-modal level of operation. The end results will help identify the promising regions, via an optimization formulation, where enabling autonomy makes economic sense to the stakeholders. Outcome models, analysis, and metrics is expected to further increase the research community’s ability to characterize the impacts of differing levels of autonomy as well as the synergistic benefit of a ride-sharing economy within the context of a multi-modal transportation system.


    • English


    • Status: Completed
    • Funding: $208662 (CCAT $90,00 Purdue CS + Gift $118,662‬)
    • Contract Numbers:


    • Sponsor Organizations:

      Department of Transportation

      Intelligent Transportation Systems Joint Program Office
      1200 New Jersey Avenue, SE
      Washington, DC  United States  20590
    • Managing Organizations:

      Center for Connected and Automated Transportation

      University of Michigan Transportation Research Institute
      Ann Arbor, MI  United States  48109
    • Project Managers:

      Tucker-Thomas, Dawn

    • Performing Organizations:

      Purdue University

      1040 South River Road
      West Lafayette, IN  United States  47907
    • Principal Investigators:

      DeLaurentis, Daniel

    • Start Date: 20190101
    • Expected Completion Date: 20220930
    • Actual Completion Date: 20230307
    • USDOT Program: University Transportation Centers Program
    • Subprogram: Research

    Subject/Index Terms

    Filing Info

    • Accession Number: 01742586
    • Record Type: Research project
    • Source Agency: Center for Connected and Automated Transportation
    • Contract Numbers: 69A3551747105
    • Files: UTC, RIP
    • Created Date: Jun 18 2020 8:54AM