An Integer Nonlinear Goal Programming Model for the Deployment of State Highway Patrol Units
针对州公路巡逻的主动预防模式，提出一个整数非线性目标规划模型来部署巡逻车到路段，并用假设案例演示求解与敏感性分析，对交通执法管理者有参考价值。
A number of models have been developed in recent years for the allocation and deployment of urban police units. However, these models are not directly applicable to the state highway patrol counterparts. Although urban police and the state highway patrol are both law enforcement agencies, an urban police force typically operates by reacting to crimes already committed (i.e., a reactive mode of operation) while the state highway patrol attempts to maintain a visible presence to prevent infractions (i.e., a proactive mode of operation). This paper describes a modeling approach that can be used to deploy state highway patrol cars to the road segments comprising a highway patrol district. Specifically, an integer nonlinear goal programming model is described and demonstrated within the context of a hypothetical case example. The model reflects the fact that the relationships between unit deployment and performance measures are often nonlinear—as additional patrol units are assigned to a road segment, performance will increase but at a decreasing rate. The model's goal constraints reflect the proactive nature of patrol deployment. The model is solved using a modified multi-criteria pattern/gradient search technique, and the results are analyzed to test their sensitivity to goal levels and priority structures.