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

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

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...

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Bibliographic Details
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
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Institution: Singapore Management University
Language: English

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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

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