Bike Rental Management System

The increasing demand for convenient and eco- friendly transportation has led to the rise of bike rental services. This project, "Bike Rental Management System," focuses on developing an efficient, user-friendly, and scalable platform to streamline the process of renting bikes. The system provides an automated solution that allows users to browse, book, and return bikes seamlessly while enabling administrators to manage inventory, track rentals, and monitor bike availability. Built using modern web technologies, this system integrates secure payment gateways and GPS tracking to enhance user experience and security. The project aims to contribute to sustainable urban mobility by offering an effective alternative to conventional transportation.

Authors

Publication Details

Journal
Indian Journal of Computer Science and Technology
Published
2025-04-04
DOI
https://doi.org/10.59256/indjcst.20250401015
Primary Topic
Traffic Prediction and Management Techniques
Type
article
Field-Weighted Citation Impact
0.00
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article

Bike Rental Management System

J. Saravanakumar, Suresh Kumar. A, P. Vignesh, Mohammed Azarudheen M et al.
Indian Journal of Computer Science and Technology
Traffic Prediction and Management Techniques
article

Bike Rental Management System

J. Saravanakumar, Suresh Kumar. A, P. Vignesh, Mohammed Azarudheen M, M Jayasurya, M Kathirvel
article en

Abstract

The increasing demand for convenient and eco- friendly transportation has led to the rise of bike rental services. This project, "Bike Rental Management System," focuses on developing an efficient, user-friendly, and scalable platform to streamline the process of renting bikes. The system provides an automated solution that allows users to browse, book, and return bikes seamlessly while enabling administrators to manage inventory, track rentals, and monitor bike availability. Built using modern web technologies, this system integrates secure payment gateways and GPS tracking to enhance user experience and security. The project aims to contribute to sustainable urban mobility by offering an effective alternative to conventional transportation.

Indian Journal of Computer Science and Technology
Openalex Percentile: Top 93%
Traffic Prediction and Management Techniques
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