Title:
Residual Deterrence In Action: Exploring The Impact Of License Plate Readers In Warner Robins' Smart City Digital Twin Model
Residual Deterrence In Action: Exploring The Impact Of License Plate Readers In Warner Robins' Smart City Digital Twin Model
Author(s)
Sonar, Nidhi Sandip
Advisor(s)
Taylor, John E.
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Abstract
With an emphasis on crime prevention, this thesis investigates the residual effect of License Plate Readers (LPRs) within a Smart City Digital Twin (SCDT) model. It highlights the integration of Artificial Intelligence (AI) and LPRs for improved surveillance while tracing the historical background of crime. The study presents the Warner Robins SCDT model, which shows encouraging outcomes in the use of dynamic LPR deployment to curb criminal acts. The residual effect of LPRs, which shows continued deterrence even after relocation, is analyzed using statistical tests on the crime records of Warner Robins (WR) and the location of cameras during the intervention period of eighteen weeks. The results demonstrate the presence of a residual effect for the period under consideration, and the possibility of yielding unique results or insights through advanced testing and research based on different parameters.
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Date Issued
2023-12-13
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Thesis