Attacker-Defender Models and Road Network Vulnerability

The reliability of road networks depends directly on their vulnerability to disruptive incidents, ranging in severity from minor disruptions to terrorist attacks. This paper presents a game theoretic approach to the analysis of road network vulnerability. The approach posits predefined disruption, a...

Ausführliche Beschreibung

Bibliographische Detailangaben
Veröffentlicht in:	Philosophical Transactions: Mathematical, Physical and Engineering Sciences. - The Royal Society. - 366(2008), 1872, Seite 1893-1906
1. Verfasser:	Bell, M. G. H. (VerfasserIn)
Weitere Verfasser:	Kanturska, U., Schmöcker, J.-D., Fonzone, A.
Format:	Online-Aufsatz
Sprache:	English
Veröffentlicht:	2008
Zugriff auf das übergeordnete Werk:	Philosophical Transactions: Mathematical, Physical and Engineering Sciences
Schlagworte:	Transport network vulnerability Defender-attacker-defender Risk-averse routing Game theory Networks under attack Mathematics Applied sciences Economics Behavioral sciences Social sciences


LEADER	01000caa a22002652 4500
001	JST065976606
003	DE-627
005	20240622125911.0
007	cr uuu---uuuuu
008	150325s2008 xx \|\|\|\|\|o 00\| \|\|eng c
035			\|a (DE-627)JST065976606
035			\|a (JST)25190800
040			\|a DE-627 \|b ger \|c DE-627 \|e rakwb
041			\|a eng
100	1		\|a Bell, M. G. H. \|e verfasserin \|4 aut
245	1	0	\|a Attacker-Defender Models and Road Network Vulnerability
264		1	\|c 2008
336			\|a Text \|b txt \|2 rdacontent
337			\|a Computermedien \|b c \|2 rdamedia
338			\|a Online-Ressource \|b cr \|2 rdacarrier
520			\|a The reliability of road networks depends directly on their vulnerability to disruptive incidents, ranging in severity from minor disruptions to terrorist attacks. This paper presents a game theoretic approach to the analysis of road network vulnerability. The approach posits predefined disruption, attack or failure scenarios and then considers how to use the road network so as to minimize the maximum expected loss in the event of one of these scenarios coming to fruition. A mixed route strategy is adopted, meaning that the use of the road network is determined by the worst scenario probabilities. This is equivalent to risk-averse route choice. A solution algorithm suitable for use with standard traffic assignment software is presented, thereby enabling the use of electronic road navigation networks. A variant of this algorithm suitable for risk-averse assignment is developed. A numerical example relating to the central London road network is presented. The results highlight points of vulnerability in the road network. Applications of this form of network vulnerability analysis together with improved solution methods are discussed.
540			\|a Copyright 2008 The Royal Society
650		4	\|a Transport network vulnerability
650		4	\|a Defender-attacker-defender
650		4	\|a Risk-averse routing
650		4	\|a Game theory
650		4	\|a Networks under attack
650		4	\|a Mathematics \|x Applied mathematics \|x Game theory
650		4	\|a Applied sciences \|x Engineering \|x Transportation \|x Traffic \|x Traffic characteristics \|x Traffic assignment
650		4	\|a Applied sciences \|x Engineering \|x Transportation \|x Travel \|x Travel expenses
650		4	\|a Economics \|x Economic disciplines \|x Financial economics \|x Finance \|x Financial analysis \|x Risk management \|x Risk aversion
650		4	\|a Applied sciences \|x Computer science \|x Computer engineering \|x Computer software
650		4	\|a Applied sciences \|x Computer science \|x Algorithms
650		4	\|a Behavioral sciences \|x Psychology \|x Personality psychology \|x Personality \|x Personality traits \|x Pessimism
650		4	\|a Social sciences \|x Communications \|x Negotiation \|x Negotiation strategies \|x Mixed strategy
650		4	\|a Applied sciences \|x Engineering \|x Transportation \|x Travel \|x Travel time
650		4	\|a Applied sciences \|x Engineering \|x Civil engineering \|x Infrastructure \|x Transportation infrastructure \|x Roads
650		4	\|a Mathematics \|x Applied mathematics \|x Game theory
650		4	\|a Applied sciences \|x Engineering \|x Transportation \|x Traffic \|x Traffic characteristics \|x Traffic assignment
650		4	\|a Applied sciences \|x Engineering \|x Transportation \|x Travel \|x Travel expenses
650		4	\|a Economics \|x Economic disciplines \|x Financial economics \|x Finance \|x Financial analysis \|x Risk management \|x Risk aversion
650		4	\|a Applied sciences \|x Computer science \|x Computer engineering \|x Computer software
650		4	\|a Applied sciences \|x Computer science \|x Algorithms
650		4	\|a Behavioral sciences \|x Psychology \|x Personality psychology \|x Personality \|x Personality traits \|x Pessimism
650		4	\|a Social sciences \|x Communications \|x Negotiation \|x Negotiation strategies \|x Mixed strategy
650		4	\|a Applied sciences \|x Engineering \|x Transportation \|x Travel \|x Travel time
650		4	\|a Applied sciences \|x Engineering \|x Civil engineering \|x Infrastructure \|x Transportation infrastructure \|x Roads
655		4	\|a research-article
700	1		\|a Kanturska, U. \|e verfasserin \|4 aut
700	1		\|a Schmöcker, J.-D. \|e verfasserin \|4 aut
700	1		\|a Fonzone, A. \|e verfasserin \|4 aut
773	0	8	\|i Enthalten in \|t Philosophical Transactions: Mathematical, Physical and Engineering Sciences \|d The Royal Society \|g 366(2008), 1872, Seite 1893-1906 \|w (DE-627)254635296 \|w (DE-600)1462626-3 \|x 1364503X \|7 nnns
773	1	8	\|g volume:366 \|g year:2008 \|g number:1872 \|g pages:1893-1906
856	4	0	\|u https://www.jstor.org/stable/25190800 \|3 Volltext
912			\|a GBV_USEFLAG_A
912			\|a SYSFLAG_A
912			\|a GBV_JST
912			\|a GBV_ILN_11
912			\|a GBV_ILN_20
912			\|a GBV_ILN_22
912			\|a GBV_ILN_23
912			\|a GBV_ILN_24
912			\|a GBV_ILN_31
912			\|a GBV_ILN_39
912			\|a GBV_ILN_40
912			\|a GBV_ILN_60
912			\|a GBV_ILN_62
912			\|a GBV_ILN_63
912			\|a GBV_ILN_65
912			\|a GBV_ILN_69
912			\|a GBV_ILN_70
912			\|a GBV_ILN_73
912			\|a GBV_ILN_90
912			\|a GBV_ILN_95
912			\|a GBV_ILN_100
912			\|a GBV_ILN_101
912			\|a GBV_ILN_105
912			\|a GBV_ILN_110
912			\|a GBV_ILN_120
912			\|a GBV_ILN_151
912			\|a GBV_ILN_161
912			\|a GBV_ILN_170
912			\|a GBV_ILN_213
912			\|a GBV_ILN_230
912			\|a GBV_ILN_285
912			\|a GBV_ILN_293
912			\|a GBV_ILN_370
912			\|a GBV_ILN_374
912			\|a GBV_ILN_602
912			\|a GBV_ILN_702
912			\|a GBV_ILN_2001
912			\|a GBV_ILN_2003
912			\|a GBV_ILN_2005
912			\|a GBV_ILN_2006
912			\|a GBV_ILN_2009
912			\|a GBV_ILN_2010
912			\|a GBV_ILN_2011
912			\|a GBV_ILN_2014
912			\|a GBV_ILN_2015
912			\|a GBV_ILN_2018
912			\|a GBV_ILN_2020
912			\|a GBV_ILN_2021
912			\|a GBV_ILN_2026
912			\|a GBV_ILN_2027
912			\|a GBV_ILN_2044
912			\|a GBV_ILN_2050
912			\|a GBV_ILN_2057
912			\|a GBV_ILN_2061
912			\|a GBV_ILN_2088
912			\|a GBV_ILN_2107
912			\|a GBV_ILN_2110
912			\|a GBV_ILN_2190
912			\|a GBV_ILN_2943
912			\|a GBV_ILN_2946
912			\|a GBV_ILN_2947
912			\|a GBV_ILN_2949
912			\|a GBV_ILN_2951
912			\|a GBV_ILN_4012
912			\|a GBV_ILN_4035
912			\|a GBV_ILN_4037
912			\|a GBV_ILN_4046
912			\|a GBV_ILN_4112
912			\|a GBV_ILN_4125
912			\|a GBV_ILN_4242
912			\|a GBV_ILN_4251
912			\|a GBV_ILN_4305
912			\|a GBV_ILN_4306
912			\|a GBV_ILN_4307
912			\|a GBV_ILN_4323
912			\|a GBV_ILN_4325
912			\|a GBV_ILN_4335
912			\|a GBV_ILN_4346
912			\|a GBV_ILN_4393
912			\|a GBV_ILN_4700
951			\|a AR
952			\|d 366 \|j 2008 \|e 1872 \|h 1893-1906