Location-Allocation of Police Vehicles under a Multi-period Perspective

Amarildo J. F. de Lucena, S. Bocanegra, F. Gorgônio
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Abstract

The aim of this work is to propose a decision support framework to contribute to the allocation of police vehicles in urban centres. We are using a multi-period facility location mathematical model to decide where and when to locate police vehicles in order to minimize the total cost (travel time to attend the calls) over the planning horizon. This system is building using the AIMMS software for modelling and solving the mathematical model. The forecasting of call demands was done using the Monte Carlo simulation and the maps of the studied urban centre were integrated within the AIMMS. A case of study in Recife-PE city was used to evaluate the applicability of the proposed approach. The decision maker can easily operate a graphical interface for changing the maximum number of vehicles that can be operating in each period of time and evaluate the impacts on the allocation and the total cost.
多时期视角下的警车位置分配
这项工作的目的是提出一个决策支持框架,以促进在城市中心分配警车。我们正在使用一个多周期的设施定位数学模型来决定何时何地定位警车,以便在规划范围内最大限度地减少总成本(参加呼叫的旅行时间)。本系统采用AIMMS软件进行建模和数学模型求解。使用蒙特卡罗模拟完成呼叫需求的预测,并将所研究的城市中心的地图集成到AIMMS中。以累西腓- pe市为例,对该方法的适用性进行了评价。决策者可以很容易地操作图形界面来改变每个时间段内可以运行的最大车辆数量,并评估对分配和总成本的影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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