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Time-Based Estimation of Vulnerable Points in the Munich Subway Network

In: Operations Research Proceedings 2015

Author

Listed:
  • Marian Sorin Nistor

    (Universität der Bundeswehr München)

  • Doina Bein

    (California State University)

  • Wolfgang Bein

    (University of Nevada)

  • Matthias Dehmer

    (The Health and Life Sciences University)

  • Stefan Pickl

    (Universität der Bundeswehr München)

Abstract

In this paper, the frequency of trains in the Munich subway network is analyzed. Using influence diagrams the stations and edges in the network that are most vulnerable to catastrophic attacks are determined. Upon obtaining the number of trains in each station at a certain moment in time, the most vulnerable stations will be automatically identified. This process is discrete in time, and various existing train schedules available to the general public are considered. Considering each schedule, the gain and the cost of destroying a station is calculated. Based on utility values for each station representing the difference between the gain and the cost, an influence diagram decides which stations are most vulnerable to attacks.

Suggested Citation

  • Marian Sorin Nistor & Doina Bein & Wolfgang Bein & Matthias Dehmer & Stefan Pickl, 2017. "Time-Based Estimation of Vulnerable Points in the Munich Subway Network," Operations Research Proceedings, in: Karl Franz Dörner & Ivana Ljubic & Georg Pflug & Gernot Tragler (ed.), Operations Research Proceedings 2015, pages 355-360, Springer.
    • Handle: RePEc:spr:oprchp:978-3-319-42902-1_48
    DOI: 10.1007/978-3-319-42902-1_48
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