The growing demand for cost-effective and reliable transportation among students has encouraged the development of shared mobility solutions tailored for educational environments. This paper presents the design and implementation of CampusRide, a student-exclusive ride-sharing platform aimed at improving off-campus connectivity. The system is developed using a full-stack architecture comprising React, Node.js, Express, and MongoDB, integrated with JWT-based authentication, Google Maps API for routing, and secure payment gateways. The platform operates within a controlled ecosystem where only verified students can participate, enhancing safety and trust. System evaluation was conducted using 50 simulated ride scenarios, where performance metrics such as booking success rate, waiting time, and cost efficiency were analyzed. The results indicate a reduction of 32% in travel time and 41% in commuting cost, along with a 94% payment success rate. The findings demonstrate the practical viability of deploying institution-specific mobility solutions.

This study presents the successful implementation of CampusRide, a student-centric ride-sharing platform designed to address transportation challenges in educational environments. By integrating authentication, routing, and digital payment systems within a unified architecture, the platform ensures secure and efficient ride management. The experimental results validate its effectiveness in reducing travel cost and time while improving system reliability. Future enhancements may include the integration of machine learning-based ride matching, real-time GPS tracking, and mobile application deployment to further improve scalability and user experience.

[1]S. Shaheen and A. Cohen, “Shared ride services and transportation sustainability,” International Journal of Sustainable Transportation, 2018. [2]X. Li et al., “Smart mobility systems using AI-based ride matching,” IEEE Access, 2022. [3]L. Sun and S. Erath, “Demand estimation for carsharing systems using booking data,” Transportation Research Part C, 2016. [4]A. Sharma et al., “Web-based transportation platforms in smart cities,” Elsevier, 2023. [5]C. Leong and A. Sung, “Ride-hailing service research review,” IEEE Transactions on Intelligent Transportation Systems, 2021. [6]P. Singh and R. Kumar, “Ride-sharing optimization using cloud computing,” Springer, 2021. [7]S. Shaheen, N. Chan, and A. Cohen, “Mobility and the sharing economy,” Transport Reviews, 2020. [8]J. Cho, “Peer-to-peer transportation frameworks and user trust,” IEEE Access, 2019. [9]H. Hassan and W. Al-Qarni, “University-based carpooling system design,” International Journal of Interactive Mobile Technologies, 2021. [10] S. Patil, K. Bhoyar, and A. Ghosh, “Student transportation optimization using mobile systems,” IJITEE, 2022. [11] K. Bhoyar, “Rural campus mobility solutions,” IJERT, 2023. [12] Ghosh, “Student transport challenges in Indian institutions,” IJSTRE, 2022. [13] Google Developers, “Google Maps Platform Documentation,” 2024. [14] Firebase, “Authentication and Security Documentation,” 2024. [15] MongoDB Inc., “MongoDB Data Architecture,” 2024. [16] Stripe Inc., “Online Payment API Documentation,” 2024. [17] R. Shukla, “High-performance web services using Node.js,” IEEE Conference, 2022. [18] S. Ramadhani, “Peer-to-peer mobility applications,” Journal of Information Systems Engineering, 2020. [19]M. Verma et al., “Intelligent transportation systems for urban mobility,” IEEE, 2022. [20] Verma and T. Sinha, “GIS-based route estimation using Google APIs,” Journal of Transportation Engineering, 2020. [21]S. Gupta et al., “Digital platforms for shared mobility in India,” IJERT, 2023. [22] R. Shinde, “Secure digital payment systems in smart applications,” IJIRSET, 2022.

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