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@article{176915,
        author = {Akanksha Bhanarkar and Utkarsha Ukey and Vaishnavi Jambhulkar and Nandini Bhoyar and Ishwar Patle and Omkar Dudhbure},
        title = {Bike Sharing System Based on User Behaviour Analysis},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {11},
        pages = {7765-7769},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=176915},
        abstract = {This project is about a new kind of bike-sharing app that helps people travel together more comfortably and safely. Instead of just booking a random ride, the app connects two people one who needs a ride (the user) and one who is offering a ride on their bike (the rider). But what makes this app different is that it tries to find the right match between these two people by understanding their behaviour and preferences. When user signs up, they answer a few questions about how they like to travel. The app uses these answers to find a user who matches well with them, so both people feel more comfortable during the ride. To make sure everything is safe, the app also uses an OTP (one-time password) that both the user and rider have to confirm before starting the ride. This platform is trying to make bike-sharing smarter, safer, and more enjoyable by using technology to better understand people and their preferences. Overall, this project isn’t just about transportation it’s about building a better ride experience. It helps people travel in a way that’s more comfortable, more secure, and more environmentally friendly, by encouraging ride-sharing over using separate vehicles. It can be especially useful for students, daily commuters, or anyone who wants to save money, fuel, and time while also traveling with someone who matches their vibe.},
        keywords = {Bike-sharing system, User behaviour analysis, Bike usage patterns, Ride-sharing data.},
        month = {May},
        }