This Is AuburnElectronic Theses and Dissertations

Show simple item record

A Stochastic Framework for the Algorithmic Design and Analysis of Military Entry Control Facilities


Metadata FieldValueLanguage
dc.contributor.advisorKu, Wei Shinn
dc.contributor.authorTuttle, Benjamin
dc.date.accessioned2026-08-05T16:41:28Z
dc.date.available2026-08-05T16:41:28Z
dc.date.issued2026-08-05
dc.identifier.urihttps://etd.auburn.edu/handle/10415/10571
dc.description.abstractMilitary Entry Control Facilities (ECFs) are designed to delay a threat vehicle long enough for security forces to respond before it reaches a protected point. The Vehicular Threat Delay Calculator (VTDC) supports this design by estimating how long a vehicle takes to traverse an approach road, but its current form is deterministic: it assumes fixed parameters, a compliant driver, and it leaves barrier placement to engineering judgment. As a result, it can misestimate the available delay and give inaccurate insight into the fastest approach an attacker might actually drive. These limitations are addressed by introducing stochasticity into the model, producing a clearer picture of the range of approaches a threat actor might realistically take in a given scenario. Path-search algorithms are then applied to ground the most consequential of those possibilities in physically achievable driving behavior. Finally, an obstacle planner identifies advantageous obstacle placements that strengthen the road's ability to delay an approaching vehicle.en_US
dc.rightsEMBARGO_GLOBALen_US
dc.subjectComputer Science and Software Engineeringen_US
dc.titleA Stochastic Framework for the Algorithmic Design and Analysis of Military Entry Control Facilitiesen_US
dc.typeMaster's Thesisen_US
dc.embargo.lengthMONTHS_WITHHELD:60en_US
dc.embargo.statusEMBARGOEDen_US
dc.embargo.enddate2031-08-05en_US
dc.contributor.committeeRilett, Laurence
dc.contributor.committeeCottam, Adrian
dc.creator.orcid0009-0008-1484-6943en_US

Files in this item

Show simple item record