Analyzing Police Patrol Routes by Simulating the Physical Reorganization of Agents

2006 ◽  
pp. 99-114 ◽  
Author(s):  
Adriano Melo ◽  
Mairon Belchior ◽  
Vasco Furtado
Keyword(s):  
Police Patrol

Simulation of a police patrol activity

Omega ◽  
1983 ◽  
Vol 11 (4) ◽  
pp. 377-384 ◽  
Author(s):  
Brooke A Saladin
Keyword(s):  
Police Patrol

Police Patrol

2015 ◽  
pp. 1-4
Author(s):  
Daniel Montolio ◽  
Simón Planells-Struse
Keyword(s):  
Police Patrol

On the Modeling of Police Patrol Operations

1970 ◽  
Vol 6 (4) ◽  
pp. 276-281 ◽  
Author(s):  
Richard Larson
Keyword(s):  
Police Patrol

The effect of police cruiser restraint cage configuration on shoulder discomfort, muscular demands, upper limb postures, and task performance during simulated police patrol

2014 ◽  
Vol 45 (6) ◽  
pp. 1414-1421 ◽  
Author(s):  
Colin D. McKinnon ◽  
Samantha A. Amy ◽  
Jack P. Callaghan ◽  
Clark R. Dickerson
Keyword(s):  
Task Performance ◽  
Upper Limb ◽  
Police Patrol ◽  
And Task

scholarly journals Analysing the Police Patrol Routing Problem: A Review

2020 ◽  
Vol 9 (3) ◽  
pp. 157 ◽  
Author(s):  
Maite Dewinter ◽  
Christophe Vandeviver ◽  
Tom Vander Beken ◽  
Frank Witlox
Keyword(s):  
Police Officers ◽  
Keyword Search ◽  
Hybrid Genetic Algorithm ◽  
Dynamic Vehicle Routing ◽  
Routing Problem ◽  
Police Patrol ◽  
Starting Point ◽  
Solution Methods ◽  
Routing Policies ◽  
Patrol Routing

Police patrol is a complex process. While on patrol, police officers must balance many intersecting responsibilities. Most notably, police must proactively patrol and prevent offenders from committing crimes but must also reactively respond to real-time incidents. Efficient patrol strategies are crucial to manage scarce police resources and minimize emergency response times. The objective of this review paper is to discuss solution methods that can be used to solve the so-called police patrol routing problem (PPRP). The starting point of the review is the existing literature on the dynamic vehicle routing problem (DVRP). A keyword search resulted in 30 articles that focus on the DVRP with a link to police. Although the articles refer to policing, there is no specific focus on the PPRP; hence, there is a knowledge gap. A diversity of approaches is put forward ranging from more convenient solution methods such as a (hybrid) Genetic Algorithm (GA), linear programming and routing policies, to more complex Markov Decision Processes and Online Stochastic Combinatorial Optimization. Given the objectives, characteristics, advantages and limitations, the (hybrid) GA, routing policies and local search seem the most valuable solution methods for solving the PPRP.

Optimal scheduling for police patrol duties

2019 ◽  
Vol 43 (1) ◽  
pp. 1-12
Author(s):  
Shangyao Yan ◽  
Chun-Yi Wang ◽  
Yu-Wei Chuang
Keyword(s):  
Optimal Scheduling ◽  
Police Patrol
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