SBIR/STTR Research Award

Synthetic Megacity Representation in Army Modeling and Simulation (M&S) Environments

Award identifier 1d63ebb3cdc769a222db2354b988a505bec6649a0472a58f8856900c442645ecAwarding agency Department of Defense · Army

Award amount

$147,238

Program and phase

SBIR · Phase I

Award year

2016

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Award details

Awarding agency
Department of Defense
Branch
Army
Recipient company
STACKFRAME, LLC
Proposal award date
2016-07-08
Contract end date
2018-06-01
UEI
Not reported
Solicitation number
2016.1
Topic code
A16-075

Research abstract

As populations continue to swell and migrate into urban areas, megacities have emerged that exert emergent complex issues.These cities that that support populations of greater than 10 million people have density and complexity that greatly surpasses what is typically found in LVC simulations.A representation of megacities in simulation is clearly important to training, doctrine development, and analysis simulation communities to allow simulation of real world conditions in these unique environments.Fundamentally representation of megacities requires significant advances in simulation technology in many inter-related dimensions.These include high entity densities within the simulation, complex multi-level urban terrain representation and reasoning, critical infrastructure and patterns of life support, and lifecycle tool support.To address these complex requirements, StackFrame proposes to leverage its Blended Simulation Internal Research and Development (IR&D) effort that already integrates dense urban terrain generated via StackFrames Magrathea terrain generation tool, with a Patterns of Life simulation with a next generation Service Oriented Architecture (SOA) based interoperability platform called Osseus.Together, these capabilities provide a Testbed that can easily be integrated with existing Army LVC simulations to research enhancements necessary to support a full Megacity capability.

Technology keywords

Not reported

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Agency intelligence

Department of Defense

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