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Full-Text Articles in Operations Research, Systems Engineering and Industrial Engineering

Improving Law Enforcement Daily Deployment Through Machine Learning-Informed Optimization Under Uncertainty, Jonathan David Chase, Duc Thien Nguyen, Haiyang Sun, Hoong Chuin Lau Aug 2019

Improving Law Enforcement Daily Deployment Through Machine Learning-Informed Optimization Under Uncertainty, Jonathan David Chase, Duc Thien Nguyen, Haiyang Sun, Hoong Chuin Lau

Research Collection School Of Computing and Information Systems

Urban law enforcement agencies are under great pressure to respond to emergency incidents effectively while operating within restricted budgets. Minutes saved on emergency response times can save lives and catch criminals, and a responsive police force can deter crime and bring peace of mind to citizens. To efficiently minimize the response times of a law enforcement agency operating in a dense urban environment with limited manpower, we consider in this paper the problem of optimizing the spatial and temporal deployment of law enforcement agents to predefined patrol regions in a real-world scenario informed by machine learning. To this end, we …


A Decision-Oriented Framework For Evaluating Deployment Strategies For Intelligent Transportation Systems, H.-S. Jacob Tsao Feb 1999

A Decision-Oriented Framework For Evaluating Deployment Strategies For Intelligent Transportation Systems, H.-S. Jacob Tsao

Faculty Publications

Because Intelligent Transportation Systems (ITS) R&D is performed for the ultimate deployment in the real world, deployment issues may limit design options for ITS concepts and technologies and, hence, can be viewed as constraints on ITS R&D. Therefore, ITS deployment issues must be studied at the outset of the R&D process. This paper develops a framework to help recognize and organize such issues. The findings can be used by ITS researchers in developing deployable ITS concepts and technologies and by ITS promoters in deploying ITS technologies having been developed already. Based on a focus on decisions impacting the deployment of …