01624574

Component

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.

This paper was sponsored by TRB committee ABR10 Standing Committee on Critical Transportation Infrastructure Protection.

01618707

17-05230

English

16p

2017

Transportation Research Board 96th Annual Meeting

Digital/other

Figures; References; Tables

Algorithms; Game theory; Networks; Risk assessment; Security

Multi-objective programming

Memphis (Tennessee)

Planning and Forecasting; Security and Emergencies; Transportation (General)

Transportation Research Board Annual Meeting 2017 Paper #17-05230

TRIS, TRB, ATRI

Dec 8 2016 12:03PM