Sandia researchers aim to keep points-of-entry safe through systems-level modeling of operations
Carolyn Pura (8115), program deputy for borders and transportation security in the Labs’ Homeland Security Strategic Management Unit, is blunt in assessing the nature of her job. “Protecting our borders is difficult and expensive,” she says.
Almost as quickly, however, she asserts that Sandia’s recent work on border security is well on its way to becoming an enormously valuable national asset by providing federal agencies with a reliable and comprehensive simulation capability that lets officials “test drive” various security solutions before investing in them.
The focus of the Borders Grand Challenge, funded by a three-year, $6 million Laboratory Directed Research and Development project, was to develop simulation-based systems analyses characterizing the security of the US Border System and the impact of new detection technologies and concepts of operation. The work capitalizes on a range of existing Sandia capabilities, including the Weapons of Mass Destruction Decision Analysis Center (WMD-DAC), the National Infrastructure Simulation and Analysis Center (NISAC), and even the Labs’ robotics expertise. Some 21 Sandia researchers from both the California and New Mexico sites worked on the project, with Carolyn serving as principal investigator and Dan Horschel (6221) as project manager.
Models examine flow of people, goods
The interactive analysis that serves as the hallmark of the program has largely focused on illegal smuggling of radiological/nuclear material but can also be applied to other threats such as explosives or chemical/biological agent attack. The work uses detailed models that replicate actual facilities and procedures and examines border operations of all kinds. Of utmost concern is the flow of people and goods through the various border choke points.
“There is a cost-benefit tradeoff associated with any technology that might be used in border security,” Dan explains. With commerce, for example, officials must consider the flow of people and goods crossing the border, any delays that may occur due to security provisions, and operational costs that emerge as a consequence of the flow and delay. Sandia’s unique systems-level methodologies and tools address these complexities and allow homeland security officials to make data-driven decisions.
Mark Ehlen (6221) served as the lead for economic modeling. Mark points out that a unique feature of the program is its ability to project the economic impact that might be felt if a venue implements certain security options. A typical port whose processing time increases due to a newly configured set of chemical detectors, for example, might expect to increase its on-site inventories and shipments by up to 15 percent, leading to increased business costs and decreased sales. In addition, says Mark, firms that ship through the port will be affected by delays and increased costs and may take their business elsewhere. Such consequences will fluctuate from venue to venue, of course, depending on the security measures and the venue’s own operational plan.
Sandia’s models, by simulating the effects of detector placement, the use of facial recognition software, or the impact of other technology devices and strategies, can give decision-makers specific and reliable data to help make sound decisions about how and where to invest.
Mid-fidelity vs. High-fidelity modeling
The models themselves come in two primary forms.
“Mid-fidelity” models offer a broader, bigger-picture look at a border location that might give users the ability, for example, to view personally owned vehicle and cargo vehicle flows at an actual facility, using that facility’s own procedures. A “higher-fidelity” model, seen on the computer screen when the operator “zooms in” on the activity, might focus on security interrogation and feature detailed sensor modeling. High-fidelity models, because of their visualization features and accurate geometries and motion, provide a sound environment for training and can be quickly reconfigured to address border concepts of operation.
Sandia’s models have been integrated to include multiple domains, including air, sea, and land. All domains have been built with the capability to analyze the impacts of different types of sensing equipment, from radiation detection to x-ray equipment. Both a land-crossing pedestrian model and an airport, for example, examine the movements of people and look at biometrics technology, while a seaport and land cargo port analyze cargo inspection equipment.
“Hot source” dilemma
One significant issue that security officials face is the problem of “hot sources.” These occur when multiple detectors sound alarms simultaneously due to benign radiation sources. Hot sources significantly disrupt port operations by causing large delays while the source is sorted out and determined to be non-threatening.
Sandia’s modeling helps system users address the hot source problem by examining various detection scenarios and options to consider. An “in-situ” option, where traffic is stopped while threat sources are localized with a portable detector and removed from the primary traffic stream, might be suitable for certain venues. Others might choose to maintain a “self-identification pre-sort” traffic lane that allows medical patients or known radioactive shipments to sort themselves out of traffic. Sandia-developed simulations help officials identify the best “encounter geometry” within their facilities and the most “throughput-friendly” detector locations.
Though Carolyn and Dan say the work represents the most comprehensive modeling work available on border security, the research has the potential to go much further. Ideally, Sandia could extend the capability to all ports of entry across the country, creating a complete national model that is able to examine changing security measures and operations and their impact. “What we have now are high-quality, targeted studies,” says Dan. “The value a national model could offer decision-makers at the highest level could be immeasurable.”