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

Gupta, Shaguna; Feng, Shi; Park, B. Brian

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

2024-12-01
By Gupta, Shaguna ; Feng, Shi ; Park, B. Brian

File Language:

English

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:

Big Data Analytics Commuting Data Analysis Feasibility Analysis Rideshare Matching Telematics Vehicular Materials 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
Collection(s):

University Transportation Centers
Main Document Checksum:

urn:sha-512:8b6bdb2f45b263b3cb83de49d9550335cab531a3c725d71672eaeab4faa9ea8ad94962184451bbea6876cc90232c069d7cb78a027b09089481cecda2cbcd3d97
Download URL:

https://rosap.ntl.bts.gov/view/dot/86372/dot_86372_DS1.pdf
File Type:

[PDF - 2.64 MB ]

File Language:

English

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