Intelligent Multi-Model Transport Booking System

Abstract

Modern transportation systems, including buses, trains, and airlines, typically operate through separate booking 
platforms, creating challenges for travelers seeking efficient journey planning and ticket reservations. Passengers 
are often required to search multiple systems to compare schedules, fares, routes, and seat availability, resulting 
in increased planning time and inconvenience. The absence of a unified platform can lead to inefficient route 
selection, higher travel expenses, and underutilization of available transportation services. To address these 
limitations, this paper proposes an Intelligent Multimodal Transport Booking System that integrates bus, rail, and 
air transportation services within a single platform. The system utilizes real-time data and user preferences to 
provide optimized travel recommendations, seamless route planning, and efficient ticket booking. By enhancing 
accessibility, reducing travel complexity, and improving decision-making, the proposed solution aims to deliver 
a more convenient and cost-effective travel experience for users.