Abstract: A health management system for a vehicle may include, among other things, a computing device including one or more processors coupled to memory. The one or more processors may collectively operable to execute a health management environment. The health management environment may include an interface operable to obtain sensor information from one or more sensors. The health management environment may include a machine learning model operable to determine a health of one or more vehicle components based on at least one training set associated with a vehicle use profile. A method for determining health for a vehicle is also disclosed.

Abstract: A mobility system for a vehicle may include, among other things, a computing device including one or more processors coupled to memory. The one or more processors may be collectively operable to execute a mobility environment. The mobility environment may be operable to obtain, from a route planner, a proposed route for a vehicle and a mission profile associated with the proposed route. The mobility environment may be operable to assign, using a machine learning model, a route score to the proposed route based on the respective mission profile. The mobility environment may be operable to communicate the route score to the route planner. A method for route planning of a vehicle is also disclosed.

Abstract: A vehicle mobility communication network includes a computing device operable to operate a vehicle mobility control system. The vehicle mobility control system including an interface operable to communicate information indicative of a current state and/or pending action of a plurality of vehicle components, and a plurality of component control modules associated with the plurality of vehicle components. Each of the plurality of control modules is operable to control corresponding ones of the plurality of vehicle components independently based on the information indicative of the current state and/or pending action of the two or more vehicle components.

Abstract: A method for determining health for a vehicle may include training at least one machine learning model with a set of data associated with traversal of a vehicle. The method may include determining, using the trained at least one machine learning model, one or more parameters associated with the one or more vehicle components in response to operation of the vehicle. A system for determining vehicle mobility is also disclosed.

Abstract: A vehicle mobility communication network includes a computing device operable to operate a vehicle mobility control system. The vehicle mobility control system including an interface operable to communicate information indicative of a current state and/or pending action of a plurality of vehicle components, and a plurality of component control modules associated with the plurality of vehicle components. Each of the plurality of control modules is operable to control corresponding ones of the plurality of vehicle components independently based on the information indicative of the current state and/or pending action of the two or more vehicle components.

Abstract: A panel structure and a method of forming the panel structure are disclosed. The panel structure typically includes at least one panel or support associated with an activation material. The panel structure has been found particularly advantageous for use as an interior panel of an airplane although multiple other uses are contemplated as well.