Design of Urban Landscape and Road Networks to Accommodate CAVs

The advent of connected and automated vehicles (CAVs) offers the promise of enhanced safety and mobility for travelers and enhanced efficiency for transportation system operations. CAVs will also have significant impacts on the form and function of the built environment. There is a need for transportation planners and policymakers to revisit existing urban landscape and road network design guidelines and develop new design guidelines to accommodate the transition to full adoption of CAVs in the future. The transition period can be classified into: initial adoption of CAVs at low market penetrations, mixed CAV and non-CAV traffic, and full adoption of CAVs. The project team will analyze and develop urban landscape and road network designs to accommodate CAVs that can maximize safety and comfort for all road users, including motorists, public transit users, cyclists and pedestrians. Then, these designs will be evaluated based on a stated preference survey of road users to understand their perceived safety and comfort levels. The similarities and dissimilarities of different types of road users’ preferences will also be studied using statistical and econometric methods. The results and insights will be used to develop urban landscape and road network design guidelines in a CAV environment.

Language

  • English

Project

  • Status: Active
  • Funding: $75000 (USDOT) and 69750 (Purdue - Cost Share)
  • Contract Numbers:

    69A3551747105

  • 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:

    Peeta, Sninivas

  • Start Date: 20170801
  • Expected Completion Date: 20180731
  • Actual Completion Date: 0
  • USDOT Program: University Transportation Centers Program

Subject/Index Terms

Filing Info

  • Accession Number: 01645372
  • Record Type: Research project
  • Source Agency: Center for Connected and Automated Transportation
  • Contract Numbers: 69A3551747105
  • Files: UTC, RiP
  • Created Date: Aug 31 2017 1:52PM