Article

A comparison of transportation network resilience under simulated system optimum and user equilibrium conditions

Author:

Pamela M. Murray-TuiteAuthors Info & Claims

WSC '06: Proceedings of the 38th conference on Winter simulation

Pages 1398 - 1405

Published: 03 December 2006 Publication History

Abstract

Resilience is a characteristic that indicates system performance under unusual conditions, recovery speed, and the amount of outside assistance required for restoration to its original functional state. Resilience is important for daily events, such as vehicle crashes, and more extreme events, such as hurricanes and terrorist attacks. Transportation resilience has ten dimensions: redundancy, diversity, efficiency, autonomous components, strength, collaboration, adaptability, mobility, safety, and the ability to recover quickly. This paper examines the influence of the system optimal and user equilibrium traffic assignments on the last four dimensions. No widely accepted measurement of resilience is available for transportation systems; this paper presents multiple metrics for the four examined contributing components that will aid future development of a single measure of resilience. An application of these measures to a test network found that user equilibrium results in better adaptability and safety while system optimum yields better mobility and faster recovery.

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Cited By

Tachaudomdach SArunotayanun KUpayokin A(2018)A systematic review of the resilience of transportation infrastructures affected by floodingProceedings of the Asia-Pacific Conference on Intelligent Medical 2018 & International Conference on Transportation and Traffic Engineering 201810.1145/3321619.3321668(176-182)Online publication date: 21-Dec-2018
https://dl.acm.org/doi/10.1145/3321619.3321668
EL-Rashidy RGrant-Muller S(2015)An operational indicator for network mobility using fuzzy logicExpert Systems with Applications: An International Journal10.1016/j.eswa.2014.12.01842:9(4582-4594)Online publication date: 1-Jun-2015
https://dl.acm.org/doi/10.1016/j.eswa.2014.12.018
Chen LMiller-Hooks E(2012)ResilienceTransportation Science10.1287/trsc.1110.037646:1(109-123)Online publication date: 1-Feb-2012
https://dl.acm.org/doi/10.1287/trsc.1110.0376
Show More Cited By

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Information & Contributors

Information

Published In

cover image ACM Conferences

WSC '06: Proceedings of the 38th conference on Winter simulation

December 2006

2429 pages

ISBN:1424405017

Editors:
L. Felipe Perrone
Bucknell University
,
Barry G. Lawson
University of Richmond
,
Jason Liu
Colorado School of Mines
,
Frederick P. Wieland
Sensis Corporation
,
General Chair:
David Nicol
University of Illinois, Urbana-Champaign
,
Program Chair:
Richard Fujimoto
College of Computing, Georgia Tech

Sponsors

IIE: Institute of Industrial Engineers
ASA: American Statistical Association
IEICE ESS: Institute of Electronics, Information and Communication Engineers, Engineering Sciences Society
IEEE-CS\DATC: The IEEE Computer Society
SIGSIM: ACM Special Interest Group on Simulation and Modeling
NIST: National Institute of Standards and Technology
(SCS): The Society for Modeling and Simulation International
INFORMS-CS: Institute for Operations Research and the Management Sciences-College on Simulation

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Winter Simulation Conference

Publication History

Published: 03 December 2006

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WSC06

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IIE
ASA
IEICE ESS
IEEE-CS\DATC
SIGSIM
NIST
(SCS)
INFORMS-CS

WSC06: Winter Simulation Conference 2006

December 3 - 6, 2006

California, Monterey

Acceptance Rates

WSC '06 Paper Acceptance Rate 177 of 252 submissions, 70%;

Overall Acceptance Rate 3,413 of 5,075 submissions, 67%

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Cited By

Tachaudomdach SArunotayanun KUpayokin A(2018)A systematic review of the resilience of transportation infrastructures affected by floodingProceedings of the Asia-Pacific Conference on Intelligent Medical 2018 & International Conference on Transportation and Traffic Engineering 201810.1145/3321619.3321668(176-182)Online publication date: 21-Dec-2018
https://dl.acm.org/doi/10.1145/3321619.3321668
EL-Rashidy RGrant-Muller S(2015)An operational indicator for network mobility using fuzzy logicExpert Systems with Applications: An International Journal10.1016/j.eswa.2014.12.01842:9(4582-4594)Online publication date: 1-Jun-2015
https://dl.acm.org/doi/10.1016/j.eswa.2014.12.018
Chen LMiller-Hooks E(2012)ResilienceTransportation Science10.1287/trsc.1110.037646:1(109-123)Online publication date: 1-Feb-2012
https://dl.acm.org/doi/10.1287/trsc.1110.0376
Miller-Hooks EZhang XFaturechi R(2012)Measuring and maximizing resilience of freight transportation networksComputers and Operations Research10.1016/j.cor.2011.09.01739:7(1633-1643)Online publication date: 1-Jul-2012
https://dl.acm.org/doi/10.1016/j.cor.2011.09.017

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