| dc.description.abstract | Police serve in six ways nowadays: on shift, on duty, watch, patrols, check and district inspect. The patrol duty is regarded as a function of finding problems and stop ping the crime. In recent years, the government has gradually made the information of various types of crime, so that the relevant units can be more effective use of these information for the higher crime rate of the patrol road, hoping to achieve the goal of crime prevention and establishing a safer living space.
In this study, a model for police patrol routing is developed, where the time-space network flow technique is utilized to formulate the potential movements of police patrol car among all patrol spots in the dimensions of time and space. Mathematically, the model is formulated as an integer multiple-commodity network flow problem and is characterized as NP-hard. The C++ computer language, coupled with the CPLEX mathematical programming software, is employed to solve the problem. Since the problem size is expected to be huge, a solution algorithm based on a problem decomposition/collapsing technique is thus developed to efficiently solve the problem. To evaluate the performance of both models, the case studies using the real data from police station in Taiwan are tested. The test results show that the proposed model and solution algorithm could be useful for the program of the police patrol and used as a reference for the police station.
Keywords : Patrol, rout planning, time-space network, optimization, heuristic, integer multiple-commodity network flow problem | en_US |