Optimizing CampusWay : Real-Time Bus Booking and Data-Driven Allocation
Keywords:
CampusWay, University Bus Booking, Web Application, Incremental Development, Transport Management SystemAbstract
Campus transport plays a vital role in ensuring timely and reliable mobility for students, faculty and staff within the university environment. CampusWay collects transportation data, which can be analyzed to identify gaps in the system, and if integrated with machine learning, can provide predictive insights for improving campus transport efficiency. An Incremental SoftwareDevelopment Model was used to develop the webapplication. In this model, the system was built in successive increments, with each increment addingfunctional modules to the application, while initialprototypes designed in Figma helped visualize the user interface and gather feedback before implementation.According to the design, the CampusWay system comprises of three main modules, namely, the Login &Registration Module, the Seat Booking Module and theAdministrator's Module. In addition, Use CaseDiagrams, Class Diagrams and Data Flow Diagrams were presented to illustrate data interactions within the system. The web application was implemented using the Laravel framework withPHP as the backend language, MySQL as the database-management system, and Blade templates with HTMLand CSS for the frontend design. The application was hosted on a local server environment for development and testing purposes. Also the screenshots of selected webpages were used to demonstrate the effectiveness of the developed web application in accomplishing the various user requirements for the smart bus transport system
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