Modeling and Optimizing Ride-sourcing Services in Connected and Automated Cities

This project proposes a modeling framework to integrate ride-sourcing services and connected/automated vehicles with transit to serve different users in an urban area. Multiple travel modes are considered for morning commute: single ride and shared ride in ride-sourcing, and integrated ride-sourcing (either single ride or shared ride) and transit. Simulation testing and validation will be conducted on a multi-modal network in the Seattle area.

Language

  • English

Project

  • Status: Completed
  • Funding: $82500
  • Contract Numbers:

    USDOT 69A3551747124

  • Sponsor Organizations:

    Office of the Assistant Secretary for Research and Technology

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

    Connected Cities for Smart Mobility towards Accessible and Resilient Transportation Center (C2SMART)

    New York University
    Tandon School of Engineering
    Brooklyn, NY  United States 

    University of Washington, Seattle

    Washington State Transportation Center
    1107 NE 45th Street
    Seattle, WA  United States  98105
  • Managing Organizations:

    Connected Cities for Smart Mobility towards Accessible and Resilient Transportation Center (C2SMART)

    New York University
    Tandon School of Engineering
    Brooklyn, NY  United States 
  • Performing Organizations:

    University of Washington, Seattle

    1107 NE 45th Street, Suite 535
    Seattle, WA  United States  98105
  • Principal Investigators:

    Ban, Xuegang

    MacKenzie, Don

    Wang, Yinhai

  • Start Date: 20200301
  • Expected Completion Date: 20210228
  • Actual Completion Date: 20210930
  • USDOT Program: University Transportation Centers

Subject/Index Terms

Filing Info

  • Accession Number: 01736234
  • Record Type: Research project
  • Source Agency: Connected Cities for Smart Mobility towards Accessible and Resilient Transportation Center (C2SMART)
  • Contract Numbers: USDOT 69A3551747124
  • Files: UTC, RIP
  • Created Date: Apr 15 2020 3:28PM