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Rapid Dynamic Analytical Capability (RDAC®)
Case Studies
RDACg™ & Google Earth
What would happen if you had a hazardous chemical incident in your city? Would you know what streets would be contaminated? Would you know how many people were effected? Would you know how to re-route your EMS response teams around the hazard areas? Would you be able to identify all of the critical infrastructure in the path of the hazard? In this scenario, a chemical plume is effecting critical infrastructure via Level of Effect (LOE) Tool inside RDACg™ . The LOE tool performs an entity state change on effected infrastructure, tagging it with its effected level. The Dynamic Route Generator inside RDACg™ performs an optimal on the fly route calculations around obstacles between two points. For example, emergency responders are rerouted around the plume the results are exported as KML and viewed in Google Earth™
RDACg™ & NASA’s World Wind
Do you want to know where drug crimes are occurring in your city? Do you know the times where a particular type of crime is most-likely to occur? Do have visibility of your fire and EMS response areas. Do you know the optimal location to place your next Police or Fire department? RDACg ™ can generate multi-variate temporal analysis to provide a heatmap of activity for particular incidents. In this scenario, NASA’s World Wind 3D viewer is connected to RDACg™ . A heatmap analysis was performed on drug crime locations. Hotspots are identified by the brighter colors and coldspots are identified by the darker colors.
RDAC Engine™/RDACE™ & PR2C
What would happen if a category 3 hurricane hit your city? Would you know where flooding was going to occur? Would you know where all of your elderly and non ambulatory people are located? Would you know which evacuation routes would be inaccessible? Do you know what critical services are effected and to what degree? In this scenario, the RDAC Engine™/RDACE™ has generated/predicted a 9ft flood associated with a category 3 hurricane. The Flood Tool generates areas of potential flooding based off of user defined parameters. The output is a gradient showing high to low areas of flooding which could be useful in determining if a road is passable or what part of a city needs to be evacuated in the event of a pending flood.
RDACg™
If a catastrophic event happened to your city can you collect imagery and determine what infrastructure was in the collection path. Can you perform side by side imagery comparison to determine what has changed, what is damaged and or what is destroyed. In this scenario, we are simulating a predators collection track and showing how the Area of Effect Tool (AOE) inside RDACg™ can be used to extract locations of interest, building footprints, water mains, fire hydrants, and transportation. Furthermore the data is extracted by RDACg™ can be passed to other 2D and 3D visualizations.
Market and Business Analysis using RDACg™
If you own a business, do you know your market share and market penetration? Do you know if you are reaching out too all of your potential customers? Do you know where your completion is located and their customer base? Do you know if you have gaps in your marker coverage? In this scenario, RDACg™ is performing a market analysis for a customer. Integrating physical locations and coverage areas for both our client and their competitors. RDACg™ can perform a gap analysis that highlights areas where our client is losing potential customers.
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