Moderlizing AI Applications In Ticketing And Reservation Systems: Revolutionizing Passenger Transport Services

Abstract

During the past decade, AI in many commercial applications has played an increasingly important role. Nevertheless, desirable qualitative and application-specific software design characteristics have not been devoted much attention regarding AI's ticket and reservation system applications. The objective is to integrate these design characteristics with passenger needs in the area of ticketing and reservation systems so that the resulting applications will better serve the major transportation sectors. The applications are treated separately, though it is recognized that increasingly, through consolidation, multi-modal enterprises will conduct their operations through the common integrated database systems or online operators. This applies to both full-service and automated systems. In particular, we address the unique problems specific to airlines, rail, cruise liners, and buses. Based on the perspective of meeting the unique needs of the respective transport sectors, we endow the AI-oriented systems architecture with transaction-based properties to enable the operational systems to operate and be applicable for both large and small transactions. Our approach also supports transactional ATM capabilities i.e., ticket point of sale, issuing the seat and travel pass, accommodating seat requests due to service interruptions, upgrades, and duty of carrier changes, and meeting customer requests for specific flights. Additionally, our approach has open system interface capabilities. Such a need originates from the desire of carriers to participate with the online multi-modal operators and to enable agents and carriers to work asynchronously as well as access all essential data needed to service a transaction communiqué with technical capabilities.