EX472: TravelEase: Smart Travel Reimagined

ONG CHU JUN Universiti Sains Malaysia (USM)

IIMOS26 | Expert

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TravelEase is an AI-powered intelligent travel planning platform developed to address the growing challenges faced by independent travelers in managing fragmented itineraries, bookings, transportation, and travel expenses across multiple platforms. Unlike conventional travel applications that provide static recommendations or isolated services, TravelEase integrates intelligent itinerary optimization, centralized booking management, expense analytics, and personalized travel assistance within a single digital ecosystem. The system employs an enhanced Ant Colony Optimization (ACO) algorithm to solve the Traveling Salesman Problem (TSP), generating optimized travel routes by considering travel distance, duration, transportation modes, user-defined scheduling constraints, and destination priorities to minimize travel time, cost, and unnecessary carbon emissions. In addition, TravelEase provides comprehensive booking organization, interactive expense visualization, automated notifications, and real-time transportation recommendations to support efficient decision-making throughout the travel journey. By combining artificial intelligence, optimization techniques, and intelligent information management, the platform enhances travel convenience while promoting sustainable tourism practices and supporting the digital transformation of the tourism industry. The innovation contributes to SDGs 8, 9, 11, and 13 by fostering sustainable economic growth, advancing digital innovation, encouraging smart and sustainable cities, and reducing environmental impact through optimized mobility. As a scalable and intelligent solution, TravelEase redefines modern travel planning by delivering a seamless, data-driven, and sustainable travel experience while setting a new benchmark for AI-enabled smart tourism.