Agent-based simulation analysis for security planning based on structures of urban road networks

Akinobu Goto, Shingo Takahashi, Kotaro Ohori, Shohei Yamane, Hiroaki Iwashita, Hirokazu Anai

Research output: Chapter in Book/Report/Conference proceedingConference contribution


This paper proposes an agent-based simulation to analyze the effective resource allocation strategies for patrolling and inspection in consideration of urban network structures. A model of attackers and defend-ers is first formulated as "security game for urban networks." Then optimal security plans are calculated as Nash equilibria, supposing complete rationality of attackers behaviors. The "rational" security plans should be evaluated under more realistic conditions. So we provide an agent-based attacker model by ad-dressing bounded rationality of human behaviors to support decision making under complexity and uncer-Tainty. In particular, this paper mainly evaluates the effectiveness of security plans from the viewpoint of the structural characteristics of urban network, which can affect the route constrains for attackers. Our simulation shows the success rates of security with two types of urban networks and explains the reason why the results are generated through the investigation of attacker agents' micro behaviors in detail.

Original languageEnglish
Title of host publication2016 Winter Simulation Conference
Subtitle of host publicationSimulating Complex Service Systems, WSC 2016
EditorsTheresa M. Roeder, Peter I. Frazier, Robert Szechtman, Enlu Zhou
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages2
ISBN (Electronic)9781509044863
Publication statusPublished - 2016 Jul 2
Event2016 Winter Simulation Conference, WSC 2016 - Arlington, United States
Duration: 2016 Dec 112016 Dec 14

Publication series

NameProceedings - Winter Simulation Conference
ISSN (Print)0891-7736


Other2016 Winter Simulation Conference, WSC 2016
Country/TerritoryUnited States

ASJC Scopus subject areas

  • Software
  • Modelling and Simulation
  • Computer Science Applications


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