OFFICERS: Operational Framework For Intelligent Crime-and-Emergency Response Scheduling

• Main Authors: CHASE, Jonathan David, GOH, Siong Thye, PHONG, Tran, LAU, Hoong Chuin
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2022
• Subjects: Law Enforcement Deployment; Urban Computing; Planning And Scheduling; Simulated Annealing; Incident Prediction; Emergency Response; Artificial Intelligence and Robotics; Operations Research, Systems Engineering and Industrial Engineering
• Online Access: https://ink.library.smu.edu.sg/sis_research/7633; https://ink.library.smu.edu.sg/context/sis_research/article/8636/viewcontent/19830_Article_Text_23843_1_2_20220613.pdf
• Institution: Singapore Management University

In the quest to achieve better response times in dense urban environments, law enforcement agencies are seeking AI-driven planning systems to inform their patrol strategies. In this paper, we present a framework, OFFICERS, for deployment planning that learns from historical data to generate deployme...