| Title |
An Optimal Police Patrol Planning Strategy for Smart City Safety |
| ID_Doc |
36991 |
| Authors |
Hochstetler, J; Hochstetler, L; Fu, S |
| Title |
An Optimal Police Patrol Planning Strategy for Smart City Safety |
| Year |
2016 |
| Published |
|
| DOI |
10.1109/HPCC-SmartCity-DSS.2016.69 |
| Abstract |
The safety of citizens is an integral part of any smart city project. Police patrol provides an effective way to detect suspects and possible crimes. However, policing is a limited resource just like any other service that a Smart City provides. In order to efficiently consume this resource, the city has several aspects that can be controlled to make efficient use of Police patrolling: where (area), what (number), when (hour). In this paper, we utilize the LA County Sheriff's open crime dataset to study the police patrol planning problem. We propose a novel approach to build a network of clusters to efficiently assign patrols based on informational entropy. This minimizes Police time-to-arrival and lowers the overall numbers of police on patrol. Our algorithm relies upon the categories of crimes, and the locations of crimes. Since we use real-time traffic analysis to join crime clusters, our solution is extensible enough to be applied to any metropolitan area. |
| Author Keywords |
Smart cities; city safety; police patrol; smart planning; resource optimization |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Conference Proceedings Citation Index - Science (CPCI-S) |
| EID |
WOS:000401700900167 |
| WoS Category |
Computer Science, Information Systems; Computer Science, Interdisciplinary Applications; Computer Science, Theory & Methods; Telecommunications |
| Research Area |
Computer Science; Telecommunications |
| PDF |
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