Integer programming models and analysis for a multilevel passenger screening problem
Integer programming models and analysis for a multilevel passenger screening problem
复制标题
多级旅客筛查问题的整数规划模型与分析
DOI：
--
复制
发表时间：
2007
期刊：
影响因子：
--
通讯作者：
J. Kobza
中科院分区：
文献类型：
--
作者：
L. McLay;S. Jacobson;J. Kobza
设计有效的航空安保系统已成为国家利益和关注的问题。旅客预检是航空安全的重要组成部分。有效地利用乘客预检信息来制定筛查策略可能非常具有挑战性。此外，此类系统到位后很难衡量其有效性。为了解决这些问题，本文引入了多级乘客筛查问题（MPSP）。在 MPSP 中，有一组类别可用于筛查乘客，每个类别对应于几种用于乘客筛查的设备类型，其中每种设备类型都有关联的容量，并且乘客根据其感知的风险级别进行区分。 MPSP 的目标是使用预检信息来确定乘客分配，从而在容量和分配限制的情况下最大限度地提高总体安全性。 MPSP 通过示例进行说明，其中包含从官方航空公司指南中提取的航班时刻表和乘客量数据。
Designing effective aviation security systems has become a problem of national interest and concern. Passenger prescreening is an important component of aviation security. Effectively using passenger prescreening information to develop screening strategies can be quite challenging. Moreover, it can be difficult to measure the effectiveness of such systems after they are in place. To address these issues, this paper introduces the Multilevel Passenger Screening Problem (MPSP). In MPSP, a set of classes are available for screening passengers, each of which corresponds to several device types for passenger screening, where each device type has an associated capacity and passengers are differentiated by their perceived risk levels. The objective of MPSP is to use prescreening information to determine the passenger assignments that maximize the total security subject to capacity and assignment constraints. MPSP is illustrated with examples that incorporate flight schedule and passenger volume data extracted from the Official Airline Guide.