International Journal For Multidisciplinary Research

E-ISSN: 2582-2160   •   Impact Factor: 9.24

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RideSync: A Smart Shared Mobility Platform for Urban & Intercity Travel

Author(s) Swathilakshmi V, Samyuktha A, Hamsana S, Harithira A, Lokshana S
Country India
Abstract Rapid urbanization and the increasing dependency on private vehicles have intensified traffic congestion, fuel consumption, environmental pollution, and transportation costs in modern cities. Intelligent Transportation Systems (ITS) aim to address these challenges by leveraging information technology, location-based services, and decision logic to improve mobility efficiency and resource utilization. Ride-sharing systems are a key component of ITS, as they reduce the number of vehicles on the road by enabling multiple users with similar travel routes to share a single ride.

Most existing ride-sharing systems primarily focus on real-time route matching based on spatial and temporal constraints. While these systems improve vehicle utilization, they suffer from several limitations, including the absence of user comfort preferences, lack of mutual confirmation, and no support for unmatched ride requests. As a result, users often experience inconvenience, reduced trust, and repeated manual search efforts when suitable matches are unavailable.

To overcome these limitations, this project proposes RideSync, an intelligent and user-centric shared mobility platform within the ITS domain. RideSync introduces a rule-based shared ride matching approach that considers pickup proximity, destination similarity, time window tolerance, and user comfort preferences such as age and gender. A key contribution of the proposed system is the Auto -Waitlist mechanism, which automatically stores unmatched ride requests and continuously evaluates them against new incoming requests until a suitable match is found or a waiting threshold expires. This significantly improves matching success rates and enhances user experience without relying on complex machine learning models.

The system also incorporates mutual ride confirmation, equal fare splitting, and post-ride feedback to ensure trust, transparency, and accountability. Implemented using Flask and SQLite, RideSync is lightweight, explainable, and suitable for academic and small-scale deployments. The proposed system demonstrates that intelligent, rule-based decision logic combined with automated waitlisting can effectively enhance shared mobility solutions within modern Intelligent Transportation Systems.
Keywords Intelligent Transportation System (ITS), Ride Sharing, Smart Mobility, Auto-Waitlist Mechanism, Location-Based Services, Rule-Based Matching, Shared Transportation, User Preference Filtering, Dynamic Ride Matching, Spatial and Temporal Constraints, Urban Mobility, Sustainable Transportation, GPS-Based Matching, Mutual Ride Confirmation
Field Computer > Artificial Intelligence / Simulation / Virtual Reality
Published In Volume 8, Issue 2, March-April 2026
Published On 2026-03-23
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E-ISSN 2582-2160
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