Amadeus S.a.s.

Mathieu Philippe Beynel

Olivier Cazeaux

Elsa Anselmet

Jeremy Teyssedre

Maxime Godeau

A method of maintaining a distributed ledger at a client node includes: storing a distributed ledger defining a plurality of records each containing a set of values; storing (i) a local voting weight corresponding to the client node, and (ii) respective remote voting weights for a plurality of remote client nodes; obtaining a proposed update to a record of the distributed ledger; generating a local vote to apply or discard the proposed update and transmitting the local vote to the remote client nodes; receiving remote votes to apply or discard the proposed update from the remote client nodes; determining whether to permit the proposed update based on (i) the local vote and the local voting weight, and (ii) the remote votes and the corresponding remote voting weights; and according to the determination, applying the proposed update to the distributed ledger or discarding the proposed update.

System and method for maintaining a distributed ledger

Systems and methods for detecting disruption events that impact itineraries using data obtained from fragmented sources. A disruption event that impacts a segment of an itinerary is detected using data obtained from a number of fragmented sources. A record identifier associated with a reservation record generated in a reservation database in response to reserving the itinerary is identified. A disruption element corresponding to the segment is generated in the reservation record to store data indicating a net difference between a base state of the segment at a time of a ticketing of the itinerary and an actual state of the segment at a time the segment terminates. A difference between the base state and a state of the segment following the disruption event is determined. The disruption element is populated with data indicating the difference.

Travel disruption management using fragmented source data

Systems and methods for in-transit detection and mitigation of transportation service disruptions in the travel industry using fragmented source data. A notification including a record identifier is received. The notification identifies a disruption element created upon detecting a disruption event that impacts a segment of an itinerary. The record identifier corresponds to a reservation record that was generated responsive to reserving the itinerary. The reservation record is accessed to obtain data stored in the disruption element that indicates a net difference between a base state of the segment when ticketed and an actual state of the segment when the segment terminates. A disruption metric quantifying a relative impact of disruption events on the segment is determined using that disruption element data. One or more mitigation options that reduce the disruption metric are identified. An instruction is triggered that causes a remote service to effectuate those mitigation options.

In-transit travel disruption detection and mitigation

Systems and methods for composite travel disruption monitoring and mitigation in the travel industry using fragmented source data. Reservation records associated with a user profile are accessed in a reservation database. The reservation records are filtered to create a filter sub-set of reservation records that each have a disruption element storing data that indicates a net difference between a base state of a segment when ticketed and an actual state of the segment when the segment terminates. A disruption metric is determined for each segment quantifying a relative impact of disruption events on the segment using data stored in a corresponding disruption element. A composite disruption metric is determined based on the disruption metrics quantifying a cumulative impact of disruption events on a user associated with the user profile. At least one mitigation option is effectuated based on a comparison between the composite disruption metric and a defined threshold.

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Pegomas, France

Mathieu Philippe Beynel