Smart Rideshare Matching – Feasibility of Utilizing Personalized Preferences

Current transport-share systems or carpooling typically rely on users to actively request or offer a ride and to coordinate the time and pickup location. Services such as Lyft and Uber have addressed this problem by using location to provide ride services that are convenient and on-demand. The on-demand and convenience aspects of transportation might also be the main reason behind using personal cars as they allow to combine commutes with other activities (e.g., picking up kids to and from school, running errands, going to off-campus meetings, etc.). This convenience, however, comes at a great personal and societal cost including traffic congestion, parking demand, stress, and health problems. Despite various agencies' incentives and discounts for ridesharing, this kind of service has not been widely used for obvious reasons mentioned above as well as hassled coordination, scheduling requirements, commitment, and having to actively request or offer rides. In this project, the research team proposes to conduct a case study using a university community to increase engagement in ridesharing in the UVA community by building a proactive context-aware matching and recommendation system that matches the community members based on predicted ride events inferred from their calendars and routines (e.g., shared time and location of events in Outlook calendar).


    • English


    • Status: Active
    • Funding: $100000
    • Contract Numbers:


    • Sponsor Organizations:

      Sustainable Mobility and Accessibility Regional Transportation Equity Research Center

      Morgan State University
      Baltimore, MD  United States 

      Office of the Assistant Secretary for Research and Technology

      University Transportation Centers Program
      Department of Transportation
      Washington, DC  United States  20590
    • Project Managers:

      Niehaus, Joseph

    • Principal Investigators:

      Park, Brian

      Chen, Donna

      Doryab, Afsaneh

      Mondschein, Andrew

    • Start Date: 20230901
    • Expected Completion Date: 20240901
    • Actual Completion Date: 0
    • USDOT Program: University Transportation Centers

    Subject/Index Terms

    Filing Info

    • Accession Number: 01893884
    • Record Type: Research project
    • Source Agency: Sustainable Mobility and Accessibility Regional Transportation Equity Research Center
    • Contract Numbers: 69A3552348303
    • Files: UTC, RIP
    • Created Date: Sep 21 2023 3:48PM