Multi-Level Multi-Objective Vulnerability Assessment of Transportation Networks

Given the key role that transportation networks play in economies, their protection from threats is of vital concern. This research effort presents a multi-level multi-objective sequential game theory framework that can be applied to complex transportation networks where both the network manager and intelligent attacker can have multiple objectives. Having two multi-objective levels creates a complexity issue for solution algorithms, thus a new weighted sum solution algorithm is introduced to address this issue. The game theory framework and weighted sum solution algorithm are applied to a large transportation network for the metropolitan area of Memphis, TN. The results show that the intelligent attacker focuses on links near significant origins and destinations in an effort to isolate them from the rest of the network.

• Supplemental Notes:
  • This paper was sponsored by TRB committee ABR10 Standing Committee on Critical Transportation Infrastructure Protection.
• Corporate Authors:

  Transportation Research Board

  500 Fifth Street, NW
  Washington, DC  United States  20001
• Authors:
  • Higgs, Bryan
  • Golias, Mihalis M
  • Mishra, Sabyasachee
• Conference:
  • Transportation Research Board 96th Annual Meeting
  • Location: Washington DC, United States
  • Date: 2017-1-8 to 2017-1-12
• Date: 2017

Language

• English

Media Info

• Media Type: Digital/other
• Features: Figures; References; Tables;
• Pagination: 16p
• Monograph Title: TRB 96th Annual Meeting Compendium of Papers

Subject/Index Terms

• TRT Terms: Algorithms; Game theory; Networks; Risk assessment; Security
• Uncontrolled Terms: Multi-objective programming
• Geographic Terms: Memphis (Tennessee)
• Subject Areas: Planning and Forecasting; Security and Emergencies; Transportation (General);

Filing Info

• Accession Number: 01624574
• Record Type: Publication
• Report/Paper Numbers: 17-05230
• Files: TRIS, TRB, ATRI
• Created Date: Jan 30 2017 5:13PM