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Reliability analysis of state transportation network under path failure strategies (wip)

Published: 09 July 2017 Publication History

Abstract

Transportation in the form of passenger or non-passenger (freight) services forms the backbone of any economy. In either case, the transportation network plays a very important role. Hence, ensuring the network stays resilient all the time, especially in the face of challenges such as heavy traffic loads and large-scale natural disasters, is of utmost importance. In this study, a network model is developed to calculate reliability by considering the critical paths of a transportation network using the UCINET simulation tool. The implementation of this network model used two path failure strategies (selective and random) using the Betweenness Centrality as a metric. Our preliminary results show that the UCINET tool can be used to successfully estimate the reliability and to further identify the critical paths of a highway transportation network in California.

References

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Borgatti, S. P., M. G. Everett, and L. C. Freeman. 2002. "UCINET for Windows: Software for Social Network Analysis". Harvard, MA: Analytic Technologies, vol. XV, pp. 12--15.
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Chang S. and L. Li. 2014. "Reliability Analysis of Highway and Transportation Network with Nodes Failure". Applied Mechanics and Materials, vol. 687--691, pp. 2128--2131.
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Levinson D. M., H. X. Liu, and M. G. H. Bell. 2012. "Network Reliability in Practice". In Proceedings of 4th International Symposium on Transportation Network Reliability, New York: Springer Science Business Media, LLC.
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  1. Reliability analysis of state transportation network under path failure strategies (wip)

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    SummerSim '17: Proceedings of the Summer Simulation Multi-Conference
    July 2017
    431 pages

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    Society for Computer Simulation International

    San Diego, CA, United States

    Publication History

    Published: 09 July 2017

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    Author Tags

    1. complex network
    2. highway transportation network
    3. reliability
    4. social network analysis

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    SummerSim '17: Summer Simulation Multi-Conference
    July 9 - 12, 2017
    Washington, Bellevue

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