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Paper ID:IJSREM68258

RideMate: A Smart Campus Ride-Sharing Platform for Efficient, Secure and Sustainable Student Transportation

Stream/Area:

-

Subject:

-

Paper ID:

IJSREM68258

Volume:

10 |

10 |

Oct 2026

Pages:

1-7

Publication Frequency:

Monthly (12 issues per year)

DOI
Digital Object Identifier
Not assigned

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

PD

Prakash Das

Btech Computer Science Engineering

GH Raisoni University,Amravati

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PP

Prajwal Pal

Btech Computer Science Engineering

GH Raisoni University,Amravati

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VB

Vedant Bhoyar

Btech Computer Science Engineering

GH Raisoni University,Amravati

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SK

Shreya Kulkarni

Btech Computer Science Engineering

GH Raisoni University,Amravati

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SD

Sharvari Deshpande

Btech Computer Science Engineering

GH Raisoni University,Amravati

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NR

Neel Rehpade

Btech Computer Science Engineering

GH Raisoni University,Amravati

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Mentors

PSC

Prof. Surabhi Chavhan

IT

GH Raisoni University,Amravati

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Abstract

Students who commute to the same campus often travel in parallel without knowing it: one rider has an empty pillion seat, while a classmate on the same road pays for an auto-rickshaw. Informal arrangements made in messaging groups seldom cover seat approval, safety, or feedback. This paper presents RideMate, a web-based ride-sharing platform built for a single campus community. Drivers publish rides with a route, time, seat count and vehicle number; passengers search, request a seat, and wait for the driver to accept or reject the request. Once accepted, a passenger can follow the trip on an OpenStreetMap-based map using the browser’s geolocation, raise an SOS alert that captures the current position and ride details, and, on arrival, rate the ride on a five-star scale and optionally contribute to charity through a QR-code page. The application is written in Python with Flask, was prototyped on SQLite, and was later moved to PostgreSQL hosted on Supabase, with the Flask service deployed on Render. We describe the design, the database schema, the booking state machine and the implementation, and report functional testing carried out with driver and passenger accounts. Load testing and a field study with real commuters are left for future work.

KEYWORDS

ride sharing carpooling smart campus Flask PostgreSQL GPS tracking rider safety web application

Cite This Article

Prakash Das, Prajwal Pal, Vedant Bhoyar, Shreya Kulkarni, Sharvari Deshpande, Neel Rehpade, Prof. Surabhi Chavhan, "RideMate: A Smart Campus Ride-Sharing Platform for Efficient, Secure and Sustainable Student Transportation," International Journal of Scientific Research in Engineering and Management, vol. 10, no. 10, pp. 1-7, Oct 2026.

Full Article/Conclusion

RideMate is a campus ride-sharing application that joins ride offering, searching, booking with driver approval, notifications, GPS tracking, SOS, rating and a charity option in one web system. Moving from a SQLite prototype to PostgreSQL on Supabase, with the Flask service on Render, turned a single- machine demonstration into something several users can reach through a URL. The work is a working design and implementation rather than a measured study; its value lies in showing how these pieces fit together for a campus setting and in providing a base for the extensions listed above.

References

[1]  M. Furuhata, M. Dessouky, F. Ordóñez, M.-E. Brunet, X. Wang, and S. Koenig, “Ridesharing: The state-of-the-art and future directions,” Transp. Res. B, Methodol., vol. 57, pp. 28–46, Nov. 2013. [2]  N. Agatz, A. Erera, M. Savelsbergh, and X. Wang, “Optimization for dynamic ride-sharing: A review,” Eur. J. Oper. Res., vol. 223, no. 2, pp. 295–303, Dec. 2012. [3] N. D. Chan and S. A. Shaheen, “Ridesharing in North America: Past, present, and future,” Transp. Rev., vol. 32, no. 1, pp. 93–112, 2012. [4]  S. Shaheen and A. Cohen, “Shared ride services in North America: Definitions, impacts, and the future of pooling,” Transp. Rev., vol. 39, no. 4, pp. 427–442, 2019. [5]  J. Alonso-Mora, S. Samaranayake, A. Wallar, E. Frazzoli, and D. Rus, “On-demand high-capacity ride-sharing via dynamic trip-vehicle assignment,” Proc. Natl. Acad. Sci. U.S.A., vol. 114, no. 3, pp. 462–467, 2017. [6]  M. Haklay and P. Weber, “OpenStreetMap: User-generated street maps,” IEEE Pervasive Comput., vol. 7, no. 4, pp. 12–18, Oct.–Dec. 2008. [7]  V. Agafonkin, “Leaflet: An open-source JavaScript library for interactive maps.” [Online]. Available: https://leafletjs.com [8] D. Luxen and C. Vetter, “Real-time routing with OpenStreetMap data,” in Proc. 19th ACM SIGSPATIAL Int. Conf. Adv. Geogr. Inf. Syst., Chicago, IL, USA, 2011, pp. 513–516. [9]  Komoot, “Photon: Open-source geocoder for OpenStreetMap data.” [Online]. Available: https://photon.komoot.io [10] A. Popescu, “Geolocation API specification,” W3C Recommendation. [Online]. Available: https://www.w3.org/TR/geolocation/

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Publication Date

10/24/2026

Peer Review Type

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Review Rounds: 2

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