Smart Rideshare Matching: Feasibility of Utilizing Personalized Preferences

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

2025

Abstract

We investigated the feasibility of utilizing vehicular telematics data for ride-sharing matching. The main focus was to use personalized preferences including home and workplace departure and arrival times. A case study was conducted using the vehicular telematics commuting data between their home to the University of Virginia (UVA) campus. Using data from April 2022, which captures vehicle trips, arrival times, and departure times at UVA, 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 in nearby locations, thereby facilitating coordinated ride-sharing opportunities. The findings are presented through visualizations illustrating ride-matching potential, particularly during peak commuting hours. The matching would offer a convenient ride-sharing solution for UVA commuters while maintaining their commuting flexibility. This approach could also offer a sustainable transportation solution that enhances travel efficiency, lowers environmental impact, and supports the broader 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.

Paper Citation

in Harvard Style

Gupta S., Feng S. and Park B. (2025). Smart Rideshare Matching: Feasibility of Utilizing Personalized Preferences. In Proceedings of the 11th International Conference on Vehicle Technology and Intelligent Transport Systems - Volume 1: VEHITS; ISBN 978-989-758-745-0, SciTePress, pages 482-489. DOI: 10.5220/0013291400003941

in Bibtex Style

@conference{vehits25,
author={Shaguna Gupta and Shi Feng and B. Park},
title={Smart Rideshare Matching: Feasibility of Utilizing Personalized Preferences},
booktitle={Proceedings of the 11th International Conference on Vehicle Technology and Intelligent Transport Systems - Volume 1: VEHITS},
year={2025},
pages={482-489},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0013291400003941},
isbn={978-989-758-745-0},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 11th International Conference on Vehicle Technology and Intelligent Transport Systems - Volume 1: VEHITS
TI - Smart Rideshare Matching: Feasibility of Utilizing Personalized Preferences
SN - 978-989-758-745-0
AU - Gupta S.
AU - Feng S.
AU - Park B.
PY - 2025
SP - 482
EP - 489
DO - 10.5220/0013291400003941
PB - SciTePress