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Optimal Resource Allocation for Coverage Control of City Crimes
Rui Zhu
, Faisal Aqlan
,
Hui Yang
School of Engineering (Behrend)
Harold and Inge Marcus Department of Industrial and Manufacturing Engineering
Penn State Cancer Institute
Cancer Institute, Cancer Control
Research output
:
Chapter in Book/Report/Conference proceeding
›
Conference contribution
2
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Scopus citations
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Keyphrases
Law Enforcement
100%
Optimal Resource Allocation
100%
Coverage Control
100%
Limited Resources
50%
Crime Scene
50%
Severity Level
50%
Optimal Policy
50%
Crime Distribution
50%
Analytical Method
25%
High Efficiency
25%
Optimal Allocation
25%
High Severity
25%
Model Performance
25%
Cost Reduction
25%
Fast Response
25%
Response Time
25%
Low Severity
25%
Average Response Time
25%
Crime Data
25%
Data-driven Methods
25%
Efficient Operation
25%
Multiscale Distribution
25%
Crime Analytics
25%
Engineering
Response Time
100%
Severity Level
100%
Optimal Policy
100%
Limited Resource
100%
Multiscale
50%
Experimental Result
50%
Optimal Allocation
50%
Learning Algorithm
50%
Fast Response
50%
Computer Science
Response Time
100%
Resource Allocation
100%
Experimental Result
50%
Learning Algorithm
50%
Performance Model
50%
Optimal Allocation
50%
Efficient Operation
50%
Mathematics
Response Time
100%
Optimal Policy
100%
Performance Model
50%
Social Sciences
Reaction Time
100%
Resource Allocation
100%