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Game theoretic vulnerability analysis for the optimal defense of high speed rail

  • Lance Fiondella*
  • , Jun Liu
  • , Sherif Tolba
  • , Sanguthevar Rajasekaran
  • , Reda Ammar
  • , Ashrafur Rahman
  • , Nicholas Lownes
  • , John Ivan
  • *此作品的通讯作者

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

High-speed rail (HSR) holds promise as an investment to modernize our country's transportation infrastructure and serve as a driver for our national economy. The five-hundred billion dollar price tag necessitates thorough analysis and planning upfront to ensure long-term success, including a well formulated vulnerability analysis to identify an optimal strategy for deploying protective technologies and infrastructure that will render the HSR network resilient to disruptions induced by natural disasters and terrorist threats. This paper embeds a game theoretic vulnerability assessment technique that considers the impact of defending the links of the network on network vulnerability into a genetic algorithm, which searches for the optimal assignment of finite defensive resources to the links of the network. The approach is applied to the incremental HSR network deployment map given by the U.S. High Speed Rail Association, describing network construction over a fifteen year period from 2015 to 2030.

源语言英语
主期刊名2012 IEEE International Conference on Technologies for Homeland Security, HST 2012
305-311
页数7
DOI
出版状态已出版 - 2012
已对外发布
活动2012 12th IEEE International Conference on Technologies for Homeland Security, HST 2012 - Waltham, MA, 美国
期限: 13 11月 201215 11月 2012

出版系列

姓名2012 IEEE International Conference on Technologies for Homeland Security, HST 2012

会议

会议2012 12th IEEE International Conference on Technologies for Homeland Security, HST 2012
国家/地区美国
Waltham, MA
时期13/11/1215/11/12

联合国可持续发展目标

此成果有助于实现下列可持续发展目标:

  1. 可持续发展目标 16 - 和平、正义和强大机构
    可持续发展目标 16 和平、正义和强大机构

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