Police Cars Deployment and Patrol Models

Towards the development of city, the security becomes the key spot which is paid attention by each community. Therefore, the 110 police cars are deployed and patrol in different streets in order to guarantee social security. In this paper, we firstly introduce the Police Cars Deployment Model with the index of police vehicles, line coverage rate, line repetition rate and point coverage rate. Three algorithms: Flooding Algorithm, Hierarchical Cluster Analysis and Genetic Algorithm are introduced to give approximate solution. Moreover Police Cars Patrol Model is built imitated Brownian Molecular Motion to introduce collision probability. At last, the models are implemented and the sensitivity analysis is given.

[1]  E. R. Knickel,et al.  Improving police command and control with a patrol car emitter—Call box sensor car location system , 1969 .

[2]  M E J Newman,et al.  Community structure in social and biological networks , 2001, Proceedings of the National Academy of Sciences of the United States of America.

[3]  Sudarshan S. Chawathe,et al.  Organizing Hot-Spot Police Patrol Routes , 2007, 2007 IEEE Intelligence and Security Informatics.

[4]  Reynaldo Gil-García,et al.  A General Framework for Agglomerative Hierarchical Clustering Algorithms , 2006, 18th International Conference on Pattern Recognition (ICPR'06).

[5]  Weiyi Liu,et al.  A novel heuristic Q-learning algorithm for solving stochastic games , 2008, 2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence).

[6]  M. Lyshevski.  Motion of Brownian molecular motor: nanoscale-based modeling, analysis, and control , 2001, Proceedings of the 2001 American Control Conference. (Cat. No.01CH37148).

[7]  John Hallam,et al.  IEEE International Joint Conference on Neural Networks , 2005 .

[8]  C.M. Chang.  Collaborative, heuristic and normatively guided techniques to creativity , 2008, PICMET '08 - 2008 Portland International Conference on Management of Engineering & Technology.

[9]  Philip S. Yu,et al.  Top 10 algorithms in data mining , 2007, Knowledge and Information Systems.

[10]  Peter J. Fleming,et al.  Gas turbine engine controller design using multiobjective genetic algorithms , 1995 .

[11]  J. Fish,et al.  Role of Brownian motion hydrodynamics on nanofluid thermal conductivity , 2006 .

[12]  Shengdong Li,et al.  Decision support system for police patrols , 2010, 2010 2nd IEEE International Conference on Information Management and Engineering.

[13]  M E J Newman,et al.  Finding and evaluating community structure in networks. , 2003, Physical review. E, Statistical, nonlinear, and soft matter physics.