Flash Ride: A Scalable Web-Based Platform for Intelligent Ride Booking and Allocation

The growing need for effective urban transportation has shown the drawbacks of ride-booking (conventional) systems, such as lengthy wait times, lack of transparency, or wasteful resource use. This paper describes FlashRide, a novel web-based ride-booking platform that leverages a complex real-time trip-allocation system for scalable service delivery and ride booking. Modern web technologies and an automated backend system (which reduces manual operations) are the technologies employed in this system to improve efficiency and user experience. FlashRide eliminates the need for manual booking and creates a more dependable booking approach with features like user sessions, optimised driver match, dynamic fare estimate, and safe locking of rides. In the end, the suggested approach offers a scalable solution to satisfy the growing demand from metropolitan regions while facilitating seamless user and provider interaction. Results from this system's testing runs show increases in booking effectiveness, decreases in reaction times, and enhancements to the system as a whole. FlashRide offers people a simple, safe, and effective approach to handle contemporary transportation.