Published Paper Details:

In today's dynamic urban environments, efficient cab management systems are crucial for seamless transportation and passenger satisfaction. This paper presents the design and implementation of a cab management system built with Flutter for a mobile frontend and Firebase for a robust backend. Our primary focus lies on optimizing the driver-rider matching process to ensure timely cab allocation and minimize wait times. The paper details the system architecture, outlining how Flutter's cross-platform capabilities create a user-friendly mobile application for both riders and drivers. Firebase's real-time functionality is leveraged to facilitate efficient communication and data exchange between app users and the backend system. We delve into the core aspects of our driver-rider matching algorithm, explaining how it considers various factors to optimize connections. This may include factors like driver location, rider destination, and real- time traffic conditions (if implemented). By implementing this cab management system, we aim to demonstrate the effectiveness of Flutter and Firebase in building a scalable and optimized solution for matching cab drivers with riders. The paper concludes by discussing the potential benefits of this system for transportation service providers and riders alike, emphasizing improved efficiency and user satisfaction.