Abstract: A method for classifying unclassified vehicle tracks using real-time sensor data comprises acquiring a computer database of vehicle track characteristics data for known vehicle tracks; defining vehicle track signatures based on the vehicle track characteristics data; and generating a graph based on the vehicle track signatures, the graph having state nodes representative of distinguishing vehicle track characteristics defined in the vehicle track signatures and links between the state nodes representative of relationships between distinguishing vehicle track characteristics defined in the vehicle track signatures, said graph also having reporting nodes for classifying unknown vehicle tracks when sufficient distinguishing vehicle track characteristics have been observed. The method also comprises processing with the graph, using a processor, real-time sensor data corresponding to a first unclassified vehicle track until the first unclassified vehicle track is classified.

Abstract: Systems and methods for parallel, discrete, simulations include functional capabilities to incorporate one or more human operators or actors into the simulation process. Such individuals can be presented situations where one or more decisions are necessary with respect to ongoing events. Entered decisions are incorporated into simulated events and activities being simulated. These in turn influence the behavior of those entities and also initiate the occurrence of other time-based processes. An architecture artifact or product can be automatically created or updated by recording how a sequence of events took place. The creation of sections of the DoDAF OV-6C Operational Event Trace architectural diagram, for the executable architecture model, can be automatically performed to dynamically provide event traces in response to a live exercise.