Abstract

In case of fire, the supplying of the water requirements of the fire area is a vital issue. The water requirements must be satisfied as quickly as possible without encountering any obstacles. In the study, once a terrorist attack which will cause fire at certain area (node) is occurred, the situation in which the terrorists want to prevent the fire trucks' transportation to this area via the shortest path is considered. The main logic of the study is determining the risky arc(s) that will interdict and presenting a relatively safety paths for the fire trucks. Terrorists wants to maximize the shortest path of fire trucks depending on limited interdiction budget. In this context, the problem is considered within the framework of the Network Interdiction Problem (NIP), where there are two opposite sides as leader (terrorist) and follower (fire truck). As a result, the bi-level model of the problem is presented first, and the model is applied on a numerical explanatory example.

Highlights

  • Terrorism is one of the biggest problems in many countries

  • The problem is considered within the framework of the Network Interdiction Problem (NIP), where there are two opposite sides as leader and follower (...re truck)

  • A terror action which causes any ...re and hardens the aid process for quenching is considered as a Network Interdiction problem (NIP) of which the main logic is based on game theory

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Summary

Introduction

Terrorism is one of the biggest problems in many countries. A terror action which causes any ...re and hardens the aid process for quenching is considered as a Network Interdiction problem (NIP) of which the main logic is based on game theory. NIPs consist of two player, called as a leader and a follower, who have opposing objectives. The follower uses a network in order to optimize some objective functions such as moving a supply convoy through the network as quickly as possible or maximizing the amount of material transported through the network. The leader wants to restrict the follower’s achievable objective values by interdicting arcs or Received by the editors: October 17, 2017; Accepted: January 31, 2018.

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