DocumentCode :
3309042
Title :
Game theoretic vulnerability analysis for the optimal defense of high speed rail
Author :
Fiondella, Lance ; Jun Liu ; Tolba, Sherif ; Rajasekaran, Sanguthevar ; Ammar, Reda ; Rahman, Aminur ; Lownes, N. ; Ivan, Jelinek
Author_Institution :
Dept. of Comput. Sci. & Eng., Univ. of Connecticut, Storrs, CT, USA
fYear :
2012
fDate :
13-15 Nov. 2012
Firstpage :
305
Lastpage :
311
Abstract :
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.
Keywords :
game theory; genetic algorithms; railway engineering; railway safety; US High Speed Rail Association; finite defensive resources; game theoretic vulnerability analysis; genetic algorithm; national economy; natural disasters; network vulnerability; terrorist threats; transportation infrastructure; Biological cells; Cities and towns; Games; Genetic algorithms; Rails; Sociology; Statistics;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Homeland Security (HST), 2012 IEEE Conference on Technologies for
Conference_Location :
Waltham, MA
Print_ISBN :
978-1-4673-2708-4
Type :
conf
DOI :
10.1109/THS.2012.6459866
Filename :
6459866
Link To Document :
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