On the importance of Context and Data Fusion in Advance Passenger Information System

The Advance Passenger Information System has become an essential component of passenger processing at borders. The traditional APIS often lacks the capability of deploying contextual information and effectively integrating diverse data sources. This paper proposes an innovative approach to rich APIS based on context-awareness and data fusion techniques. We investigate various aspects of context information for APIS improvement. Moreover, by integrating and combining multiple sources of passenger data such as travel history, visa status, and passenger behavior analysis through data fusion techniques, APIS can generate more accurate, comprehensive, and actionable information. The analysis shows that these two added values can enhance the accuracy and reliability of passenger risk assessment while improving operational efficiency.