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Game Theoretic Analysis of Congestion, Safety and Security

Editor

Listed:
  • Kjell Hausken
    (University of Stavanger)

  • Jun Zhuang
    (University at Buffalo State University of New York)

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Suggested Citation

  • Kjell Hausken & Jun Zhuang (ed.), 2015. "Game Theoretic Analysis of Congestion, Safety and Security," Springer Series in Reliability Engineering, Springer, edition 127, number 978-3-319-11674-7, March.
    • Handle: RePEc:spr:ssreng:978-3-319-11674-7
    DOI: 10.1007/978-3-319-11674-7
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    Cited by:

    1. Nogal, Maria & O'Connor, Alan & Caulfield, Brian & Martinez-Pastor, Beatriz, 2016. "Resilience of traffic networks: From perturbation to recovery via a dynamic restricted equilibrium model," Reliability Engineering and System Safety, Elsevier, vol. 156(C), pages 84-96.
    2. Puneet Agarwal & Kyle Hunt & Shivasubramanian Srinivasan & Jun Zhuang, 2020. "Fire Code Inspection and Compliance: A Game-Theoretic Model Between Fire Inspection Agencies and Building Owners," Decision Analysis, INFORMS, vol. 17(3), pages 208-226, September.
    3. Hansen, Mark & Liu, Yi, 2015. "Airline competition and market frequency: A comparison of the s-curve and schedule delay models," Transportation Research Part B: Methodological, Elsevier, vol. 78(C), pages 301-317.
    4. Li, Yongli & Gao, Xin & Xu, Zhiwei & Zhou, Xuanrui, 2018. "Network-based queuing model for simulating passenger throughput at an airport security checkpoint," Journal of Air Transport Management, Elsevier, vol. 66(C), pages 13-24.
    5. Su, Huai & Zio, Enrico & Zhang, Jinjun & Li, Xueyi, 2018. "A systematic framework of vulnerability analysis of a natural gas pipeline network," Reliability Engineering and System Safety, Elsevier, vol. 175(C), pages 79-91.
    6. Ding, Tao & Yao, Li & Li, Fangxing, 2018. "A multi-uncertainty-set based two-stage robust optimization to defender–attacker–defender model for power system protection," Reliability Engineering and System Safety, Elsevier, vol. 169(C), pages 179-186.
    7. R. Piccinelli & G. Sansavini & R. Lucchetti & E. Zio, 2017. "A General Framework for the Assessment of Power System Vulnerability to Malicious Attacks," Risk Analysis, John Wiley & Sons, vol. 37(11), pages 2182-2190, November.

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