G2TT
来源类型Dissertations
规范类型其他
来源IDRGSD-341
Improving Turkish-Iraqi Border Security: An Agent-Based Modeling and Simulation Approach
Mustafa Oguz
发表日期2014
出版年2014
页码202
语种英语
摘要

This dissertation analyzes several policy options that could help increase border security by reducing militant actions from safe havens in foreign territory. In particular, this dissertation focuses on a section of the Turkish-Iraqi border that is particularly difficult to protect. The main threat along the border is militant infiltrations and militant attacks on border security outposts. Policy options considered are relocating outposts, additional soldiers, unattended ground sensors and foreign border guards that provide early warning of militant movements. A simulation model is developed to evaluate the effects of these options. Infiltrators and border guards are assigned simple behavior rules. Outcomes are collected from their interaction on a virtual segment of the border. The results are analyzed to find the least costly way of increasing the percentage of militant infiltration attempts interdicted and decreasing soldier casualties in outposts.

目录

Table of Contents

  • Chapter One

    Introduction

  • Chapter Two

    Case Studies: Border Security Challenges and Solutions

  • Chapter Three

    Border Security Models and Simulations

  • Chapter Four

    Comparison of Current and Preferred Locations

  • Chapter Five

    The Impact of Additional Resources

  • Chapter Six

    Observations and Recommendations

  • Appendix A

    The Simulation Model

  • Appendix B

    The Optimization Algorithm

  • Appendix C

    Validation and Verification

  • Appendix D

    Outcomes Collected From Simulation Replications

主题Border and Port Security ; The Kurdistan Region - Iraq ; Turkey
URLhttps://www.rand.org/pubs/rgs_dissertations/RGSD341.html
来源智库RAND Corporation (United States)
资源类型智库出版物
条目标识符http://119.78.100.153/handle/2XGU8XDN/111950
推荐引用方式
GB/T 7714
Mustafa Oguz. Improving Turkish-Iraqi Border Security: An Agent-Based Modeling and Simulation Approach. 2014.
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