Future of Online Bike Rental Systems in Smart Cities
Authors:-Meenachi Sri S, Nandhini S M, Naveena M, M.Dharmalingam
Abstract-The rapid growth of urban mobility solutions has increased the demand for efficient and secure bike rental systems. This project proposes an automated bike rental system using RFID, GPS, and IoT technologies to enhance the rental experience. The system ensures accurate rentals, prevents unauthorized access, and optimizes bike availability through real-time tracking. The RFID-based scanning system enables automatic bike identification and authentication, reducing human error. Each bike has an RFID tag, while rental stations feature RFID readers for automated check-in and check-out, streamlining the rental process. GPS tracking provides real-time location monitoring, improving fleet management and user safety. Users can locate bikes, check availability, and plan trips efficiently. IoT integration connects bike locks, tracking modules, and the mobile app for seamless operation. Smart locks with RFID sensors automatically unlock bikes upon successful user verification. IoT ensures real-time updates on bike status, battery levels, and maintenance needs. The mobile application allows users to rent bikes, track rentals, and make payments securely. Secure communication protocols protect user data and prevent cyber threats. The system is scalable, supporting multiple locations and rental stations. Cloud management ensures efficient data handling and fleet coordination. By integrating automated management, real-time monitoring, and enhanced security, this system offers a reliable and safe bike rental solution for urban commuters.
