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.
- Dataset URL:
- Record URL:
- Record URL:
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Supplemental Notes:
- This document was sponsored by the U.S. Department of Transportation, University Transportation Centers Program. Supporting datasets available at: https://doi.org/10.5281/zenodo.6377177
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Corporate Authors:
Connected Cities with Smart Transportation (C2SMART)
New York University
Tandon School of Engineering
Brooklyn, NY United StatesOffice of the Assistant Secretary for Research and Technology
University Transportation Centers Program
Department of Transportation
Washington, DC United States 20590 -
Authors:
- Ban, Xuegang (Jeff)
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0000-0003-3605-971X
- Wang, Yinhai
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0000-0002-4180-5628
- MacKenzie, Don
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0000-0002-0344-2344
- Fan, Rong
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0000-0002-6558-8306
- Publication Date: 2021-11
Language
- English
Media Info
- Media Type: Digital/other
- Edition: Final Report
- Features: Figures; References; Tables;
- Pagination: 48p
Subject/Index Terms
- TRT Terms: Autonomous vehicles; Commuting; Connected vehicles; Optimization; Ridesourcing
- Geographic Terms: Seattle (Washington)
- Subject Areas: Highways; Passenger Transportation; Planning and Forecasting; Public Transportation; Vehicles and Equipment;
Filing Info
- Accession Number: 01843082
- Record Type: Publication
- Contract Numbers: 69A3551747119
- Files: UTC, NTL, TRIS, ATRI, USDOT
- Created Date: Apr 25 2022 10:04AM