Abstract: Methods and systems for detecting an anomaly in a passenger flow towards a transport device. Historical data relating to the passenger flow is aggregated and a forecast passenger flow value for a target time frame is determined based upon the historical data. A first forecast is computed based upon the passenger flow in a first set of the time frames directly preceding the target time frame. A second forecast is computed based upon the passenger flow in a second set of the time frames, the second set of time frames having occurred on a same weekday and at a same time as the target time frame, in weeks preceding the target time frame. The first and second forecasts are combined to produce the forecast passenger flow value for the target time frame.

Abstract: A method, apparatus, and program product suitable for use in the travel industry utilize a dynamic and hierarchical generic data mapping model to facilitate the publication of traveler profile data from a source system, such as a profile management system, to a plurality of downstream target systems. A generic data mapping model may be utilized to dynamically build a target-specific publication data mapping, e.g., in association with the publication of a traveler profile, such that the traveler profile may be transformed into a target format using the dynamically built publication data mapping.