Smart Rideshare Matching – Feasibility of Utilizing Personalized Preferences

Gupta, Shaguna; Feng, Shi; Park, B. Brian; University of Virginia; Morgan State University. Sustainable Mobility and Accessibility Regional Transportation Equity Research Center (SMARTER) Region 3 University Transportation Center (UTC)

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ROSA P serves as an archival repository of USDOT-published products including scientific findings, journal articles, guidelines, recommendations, or other information authored or co-authored by USDOT or funded partners. As a repository, ROSA P retains documents in their original published format to ensure public access to scientific information.

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Smart Rideshare Matching – Feasibility of Utilizing Personalized Preferences

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

English

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Details:

Creators:

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

Gupta, Shaguna ; Feng, Shi ; Park, B. Brian Less -
Corporate Creators:

University of Virginia ; Morgan State University. Sustainable Mobility and Accessibility Regional Transportation Equity Research Center (SMARTER) Region 3 University Transportation Center (UTC)

University of Virginia ; Morgan State University. Sustainable Mobility and Accessibility Regional Transportation Equity Research Center (SMARTER) Region 3 University Transportation Center (UTC) Less -
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

United States. Department of Transportation. University Transportation Centers (UTC) Program ; United States. Department of Transportation. Office of the Assistant Secretary for Research and Technology Less -
Subject/TRT Terms:

[+]

Big Data Analytics Commuting Data Analysis Feasibility Analysis Rideshare Matching Telematics Vehicular Materials Vehicular Telematics Data
Publication/ Report Number:

SM15
Resource Type:

Tech Report
Geographical Coverage:

United States
Edition:

Final Report September 2023 -December 2024
Corporate Publisher:

Morgan State University. Sustainable Mobility and Accessibility Regional Transportation Equity Research Center (SMARTER) Region 3 University Transportation Center (UTC)
Abstract:

We investigated the feasibility of utilizing vehicular telematics data for ride-share matching. Our focus was to optimize ride-share matching for users by utilizing personal preferences, such as home and workplace locations, as well as departure and arrival times. A case study was conducted using participants’ vehicular telematics data to analyze their commuting patterns between their homes and the University of Virginia (UVA) campus. Using vehicle trip, departure, and arrival data from April 2022, this research analyzed vehicle trips over two weeks to identify individuals with similar commuting schedule preferences. By clustering vehicles based on proximity and timing, we proposed a framework for matching individuals who share similar arrival and departure schedule preferences and live close to each other, thereby facilitating coordinated ride-sharing opportunities. The findings are presented through visualizations illustrating ride-matching potential, particularly during peak commuting hours. Ride-share matching would offer a convenient solution to UVA commuters while maintaining their commuting flexibility. This approach could also offer a more sustainable transportation solution that enhances travel efficiency, lowers environmental impact, and supports the broad adoption of ride-sharing within academic and urban settings. The proposed framework provides a scalable model for systematic ride-sharing implementation and could guide future research and policy development for sustainable campus mobility solutions.
Format:

PDF
Funding:

69A3552348303
Collection(s):

University Transportation Centers
Main Document Checksum:

[+]

urn:sha-512:31b77d0dafc6afc1bbe3d38c59a6471bbc67559a3ed5eaecac8ef1be018a9e5b687f8a4002eefca6483f57a8ea79d9fb2a88359ee85df2847586e407cb430ad0
Download URL:

https://rosap.ntl.bts.gov/view/dot/79316/dot_79316_DS1.pdf
File Type:

[PDF-993.29 KB]