Smart Rideshare Matching – Feasibility of Utilizing Personalized Preferences [Factsheet]

Details

• Creators:
  Gupta, Shaguna ; Feng, Shi ; Park, B. Brian
• Corporate Creators:
  University of Virginia ; Morgan State University. Sustainable Mobility and Accessibility Regional Transportation Equity Research Center (SMARTER) Region 3 University Transportation Center (UTC)
• Corporate Contributors:
  United States. Department of Transportation. University Transportation Centers (UTC) Program ; United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology
• Subject/TRT Terms:
  • Commuting
  • Data analysis
  • Vehicular materials
  • Telematics
  • Feasibility analysis
  • Rideshare matching
  • Big data analytics
  • Vehicular telematics data
• Resource Type:
  Brief
• Geographical Coverage:
  United States
• Corporate Publisher:
  Morgan State University. Sustainable Mobility and Accessibility Regional Transportation Equity Research Center (SMARTER) Region 3 University Transportation Center (UTC)
• Abstract:
  This study investigated the feasibility of utilizing vehicular telematics data for ride-share matching at the University of Virginia campus. Researchers focused on optimizing ride-share matches by analyzing personal trip data such as home/workplace locations and departure/arrival times to identify potential ride-sharing opportunities that could reduce traffic congestion and parking demand.
• Format:
  PDF
• Funding:
  69A3552348303
• Download URL:
  https://rosap.ntl.bts.gov/view/dot/86372/dot_86372_DS1.pdf
• File Type:
  [PDF - 2.64 MB]
• Collection(s):
  University Transportation Centers
• Main Document Checksum:
  urn:sha-512:8b6bdb2f45b263b3cb83de49d9550335cab531a3c725d71672eaeab4faa9ea8ad94962184451bbea6876cc90232c069d7cb78a027b09089481cecda2cbcd3d97