Abstract: Obtaining position data of an asset; obtaining one or more context sensor signals, each context sensor signal representing a real-time measured parameter related to the asset; in near-real-time, updating a function that determines a present usage rate of the asset based on the position data, weighted values of the context sensor signals, and an immediate past usage status; in near-real-time, estimating an asset time to failure based on the updated function and a future asset task allocation; and based on the estimate of asset time to failure, and in near-real-time, adjusting the future asset task allocation.

Abstract: Obtaining position data of an asset; obtaining one or more context sensor signals, each context sensor signal representing a real-time measured parameter related to the asset; in near-real-time, updating a function that determines a present usage rate of the asset based on the position data, weighted values of the context sensor signals, and an immediate past usage status; in near-real-time, estimating an asset time to failure based on the updated function and a future asset task allocation; and based on the estimate of asset time to failure, and in near-real-time, adjusting the future asset task allocation.

Abstract: Methods, systems, and articles of manufacture for event-based location sampling for map-matching are provided herein. A method includes determining a location of an object via a device associated with the object; determining one or more temporal sampling periods of one or more location information sensors at one or more sampling regions based on (i) said location of the object and (ii) one or more items of map-matching information; capturing one or more motion-related events associated with the object via the one or more location information sensors during the determined one or more temporal periods; and generating a trajectory of the object based on the one or more captured motion-related events.

Abstract: Methods, systems, and articles of manufacture for event-based location sampling for map-matching are provided herein. A method includes determining a location of an object via a device associated with the object; determining one or more temporal sampling periods of one or more location information sensors at one or more sampling regions based on (i) said location of the object and (ii) one or more items of map-matching information; capturing one or more motion-related events associated with the object via the one or more location information sensors during the determined one or more temporal periods; and generating a trajectory of the object based on the one or more captured motion-related events.