Abstract: A system includes an aircraft avionics system and a portable computing device. The aircraft avionics system is configured to run one or more embedded avionics applications. The portable computing device is in operable communication with the aircraft avionics system and is configured to run one or more portable device applications. Each portable device application has resident therein a software development kit having libraries and utilities that enables the portable device application to: establish a secure connection with the aircraft avionics system, establish and maintain a required protocol with the embedded avionics application, and communicate with the embedded avionics application as specified by an application programming interface definition.

Abstract: A system and methods for enhancing operator situational awareness are disclosed. For example, one method includes monitoring a plurality of radio transmissions associated with a plurality of vehicles in a first traffic flow pattern, monitoring a second traffic flow pattern in a vicinity of a vehicle of the plurality of vehicles, monitoring at least one weather value for a destination site for the plurality of vehicles, proposing a destination approach for the vehicle in response to the monitoring, evaluating an impact of the proposed destination approach on an existing travel path for the vehicle, and generating a second travel path for the vehicle in response to the evaluating.

Abstract: Methods and systems are disclosed for depicting an energy state of a vehicle. One method comprises receiving, by a flight management computer, a plurality of vehicle parameters associated with the vehicle and determining a flight plan associated with the vehicle. Then, the flight management computer identifies a point of interest in the flight plan and determines one or more trajectories associated with the flight plan. Based on the one or more trajectories, an actual energy height and a desired energy height at the point of interest are determined and displayed to a vehicle operator.

Abstract: Disclosed are systems, methods, and non-transitory computer-readable medium for fleet based aircraft flight planning using real-time intelligence. For example, a system may include a simulation engine configured to calculate flight modification parameters associated with an aircraft based on real-time flight data of the aircraft, real-time weather data along a flight path of the aircraft, and real-time planning data of the aircraft, and then transmit the flight modification parameters to a flight management system (FMS) of the aircraft.

Abstract: Systems and methods are disclosed for providing or requesting data for simulating avionics systems. For example, a method for providing data for simulating avionics systems may include: receiving, from a client device, a first message requesting information usable by the client device to simulate a functionality of an avionics system, the first message being in a web services data format; converting the first message to an avionics protocol data format to obtain a first converted message; providing the first converted message to a server application; receiving, from the server application, a second message including the requested information, the second message being in the avionics protocol data format; converting the second message to the web services data format to obtain a second converted message; and providing, to the client device, the second converted message.

Abstract: Methods for providing a flight management service in a cloud computing environment, the method includes: receiving, an object request by a server from a mobile device wherein the server is located in the cloud computing environment including: at least a flight management system (FMS) connected to a stateless object; processing, by the connected FMS hosted by the server, the object request generating a resource object for a particular flight plan wherein the resource object includes a data set; storing, by the connected FMS, the data set at the stateless object in the cloud environment; and sending, by the server, an object response from the connected FMS to the mobile device, for accessing the data set of the stateless object for the particular flight plan.

Abstract: Systems and methods are disclosed for providing or requesting data for simulating avionics systems. For example, a method for providing data for simulating avionics systems may include: receiving, from a client device, a first message requesting information usable by the client device to simulate a functionality of an avionics system, the first message being in a web services data format; converting the first message to an avionics protocol data format to obtain a first converted message; providing the first converted message to a server application; receiving, from the server application, a second message including the requested information, the second message being in the avionics protocol data format; converting the second message to the web services data format to obtain a second converted message; and providing, to the client device, the second converted message.

Abstract: Disclosed are methods, systems, and non-transitory computer-readable medium for providing application programming interface (API) mashups. For instance, the method may include hosting a plurality of certified FMS micro-services associated with a plurality of FMS APIs; hosting an API mashup generator to perform an API mashup process and an API mashup recommendation process, the API mashup process generating combinations of APIs that include one or more APIs from the plurality of FMS APIs, other avionics APIs, and/or third party APIs; and hosting a service mesh to process a user request from a user device for the API mashup recommendation process or an invoke micro-service process.

Abstract: Disclosed are methods, systems, and non-transitory computer-readable medium for cognitive services for a FMS SaaS platform. For instance, the method may include obtaining training data; training reinforcement learning model(s) using the obtained training data; in response to receiving a request for cognitive services from a user device, analyzing a query of the request for cognitive services using at least one reinforcement learning model of the trained reinforcement learning model(s); determining intent, entity(s), emotion, and/or context of the query based on an output of the at least one reinforcement learning model to form a cognitive services request; applying a second at least one reinforcement learning model of the trained reinforcement learning model(s) to the cognitive services request to determine one or more services to invoke; and transmitting a result to the user device based on an output of the one of more invoked services.

Abstract: Disclosed are methods, systems, and non-transitory computer-readable medium for fault injection and ensuring failsafe FMS SaaS platforms. For instance, the method may include observing a behavior of a platform; building a hypothesis about a steady state behavior based on the observing the behavior of the platform; determining whether a request for fault injection has been received; in response to receiving the request for the fault injection, performing the fault injection; observing a response of the platform to the fault injection; determining whether the fault injection is at an end; and in response to determining that the fault injection is at the end, collect and analyze data of observed response(s).

Abstract: Disclosed are systems, methods, and non-transitory computer-readable medium for providing one or more flight management system (FMS) services as a Software as a Service (SaaS) with context-aware intelligence for a plurality of FMS users. For example, a system may include a context analyzer system configured to determine based on one or more context analysis parameters, a prediction engine configured to determine prediction data based on the one or more contexts and/or one or more prediction parameters, a recommender engine configured to determine recommendations based on one or more recommendation requests and/or one or more prediction data, a background processing system configured to identify background operations to support an operation of a first FMS service and generate background support data for the first FMS service, and a message bus in communication with an API gateway, the context analyzer system, the prediction engine, the recommender engine, and the background processing system.

Abstract: A method and system for aircraft management for selecting a speeding profile mode for phases of a flight plan including: retrieving assigned space goals (ASG) corresponding to a plurality of achieve by point (ABP) designations for a target flight path of the aircraft wherein the target flight path is associated with a target aircraft; determining a target air speed and applicable speed profile modes by retrieving prior information of traffic history and flight plans of the target aircraft to achieve the ABP designations corresponding to an ASG retrieved; selecting from a plurality of applicable speed profile modes, at least one applicable speed profile mode for a phase of the target flight plan for the aircraft; and comparing statuses of the aircraft of at least a status of fuel remaining for a combination of the selection of the applicable speed profile mode and the phase of the target flight plan.

Abstract: Methods and systems are provided for flight management system (FMS) familiarization training. The system comprises a user application programming interface (API) that receives a request for a training scenario from a user. A flight management engine (FME) generates the training scenario that simulates the flight mission of an FMS onboard a designated aircraft. The training scenario is generated using the same algorithms as the FMS. A database configuration module retrieves performance and condition data that is provided to the FME for use in generating the training scenario. An external API retrieves external third-party data that is provided to the FME for use in generating the training scenario.

Abstract: A system and methods for enhancing operator situational awareness are disclosed. For example, one method includes monitoring a plurality of radio transmissions associated with a plurality of vehicles in a first traffic flow pattern, monitoring a second traffic flow pattern in a vicinity of a vehicle of the plurality of vehicles, monitoring at least one weather value for a destination site for the plurality of vehicles, proposing a destination approach for the vehicle in response to the monitoring, evaluating an impact of the proposed destination approach on an existing travel path for the vehicle, and generating a second travel path for the vehicle in response to the evaluating.

Abstract: Systems are provided for providing distributed flight management capability for flight management systems (FMS) of a fleet of aircraft. The system comprises an FMS located on board and electronically integrated into the avionics system of each of the aircraft in the fleet. The system also has a digital twin FMS that contains identical software components and capabilities of the FMS. The digital twin FMS is located off board the aircraft and is in communication with each of the FMSs via a digital communications link. The digital twin FMS is configured to provide pre-flight planning for each aircraft that is dispatched to each FMS via the digital communications link.

Abstract: Methods and systems are provided for integrating aircraft flight parameters generated by an offboard portable electronic device (PED) into an onboard flight management system (FMS). The method comprises selecting the aircraft flight parameters to be generated by the PED for use by the FMS. The current flight data is accessed for the aircraft with the FMS and providing the current flight data to the offboard PED. The rules for the aircraft flight parameters are computed with the offboard PED based on the current flight data for the aircraft and transmitted to a flight management (FM) adapter. The FM adapter confirms that the rules for the aircraft flight parameters comply with operational limits of the aircraft and then translates the rules of the aircraft flight parameters to aircraft operational targets for use by the onboard FMS. The aircraft operational targets are then loaded from the FM adapter into the FMS.

Abstract: Methods for providing a flight management service in a cloud computing environment, the method includes: receiving, an object request by a server from a mobile device wherein the server is located in the cloud computing environment including: at least a flight management system (FMS) connected to a stateless object; processing, by the connected FMS hosted by the server, the object request generating a resource object for a particular flight plan wherein the resource object includes a data set; storing, by the connected FMS, the data set at the stateless object in the cloud environment; and sending, by the server, an object response from the connected FMS to the mobile device, for accessing the data set of the stateless object for the particular flight plan.

Abstract: A method and system for aircraft management for selecting a speeding profile mode for phases of a flight plan including: retrieving assigned space goals (ASG) corresponding to a plurality of achieve by point (ABP) designations for a target flight path of the aircraft wherein the target flight path is associated with a target aircraft; determining a target air speed and applicable speed profile modes by retrieving prior information of traffic history and flight plans of the target aircraft to achieve the ABP designations corresponding to an ASG retrieved; selecting from a plurality of applicable speed profile modes, at least one applicable speed profile mode for a phase of the target flight plan for the aircraft; and comparing statuses of the aircraft of at least a status of fuel remaining for a combination of the selection of the applicable speed profile mode and the phase of the target flight plan.

Abstract: A vehicle decision support system and method capable of processing operational constraints, a flight plan, and appropriate environmental data to generate timely and readily comprehensible guidance are provided.

Abstract: A vehicle decision support system and method capable of processing operational constraints, a flight plan, and appropriate environmental data to generate timely and readily comprehensible guidance are provided.