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Smart Cities and Resilience Plans: A Multi-Agent Based Simulation for Extreme Event Rescuing

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Smarter as the New Urban Agenda

Part of the book series: Public Administration and Information Technology ((PAIT,volume 11))

Abstract

The concept of smart cities is one that relies on the use of new information and communication technologies in order to improve services that cities provide to their citizens. The resilience of a city is one of the services that it can provide to its citizens. Resilience is defined as its capacity to continue working normally by serving citizens when extreme events (EEs) occur. This chapter will propose a new framework based on multi-agent systems to help cities build simulation scenarios for rescuing citizens in the case of an EE. The main contribution of the framework will be a set of models, at different levels of abstraction, to reflect the organizational structure and policies within the simulation, which involves the integration of truly dynamic dimensions of this organization. The framework will also propose methods to go from one model to another (conceptual to simulation). This framework can be applied in different domains, such as smart cities, earthquakes and building fires.

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Notes

  1. 1.

    http://en.wikipedia.org/wiki/Smart_city

Abbreviations

AA:

Agent Artefact

ABDiSE:

Agent-Based Disaster Simulation Environment

ABS:

Agent Based Simulation

ACL:

Agent Communication Language

AUML:

Agent Unified Modeling Language

BDI:

Believe, Desire, Intention

CAOM:

Conceptual Agent Organizational Model

CROM:

Conceptual Role Organizational Model

D4S2 :

Dynamic Discrete Disaster Decision Simulation System:

EE:

Extreme Events

FACL:

Form-based ACL

FIPA:

Foundation of Intelligent Physical Agents

GIS:

Geographical Information System

JADE:

Java Agent Development Environment

MAS:

Multi Agent System

MDA:

Model Driven Architecture

MDD:

Model Driven Development

MOON:

Mu1tiagent-Oriented Office Network

ND:

Natural disaster

OMT:

Object Modeling Template

OPAM:

Operational Agent Model

PIM:

Platform Independent Model

PSM:

Platform Specific Model

RTI:

Real Time Infrastructure

SAMoSAB:

Software Architecture for Modeling and Simulation Agent-Based

UEML:

Unified Enterprise Modeling Language

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Author information

Authors and Affiliations

  1. University of Quebec in Chicoutimi, 555 Boulevard Université, G7H 2B1, Chicoutimi, QC, Canada

    Dr. Karam Mustapha & Dr. Hamid Mcheick

  2. Laval University, 2325 Rue de l’Université, G1V 0A6, Québec, QC, Canada

    Dr. Sehl Mellouli

Authors
  1. Dr. Karam Mustapha
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  2. Dr. Hamid Mcheick
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  3. Dr. Sehl Mellouli
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Corresponding author

Correspondence to Karam Mustapha .

Editor information

Editors and Affiliations

  1. Centro de Investigacion y Docencia Economicas (CIDE), Mexico, D.F. C.P., Mexico

    J. Ramon Gil-Garcia

  2. Center for Technology in Government, University at Albany State University of New York, Albany, New York, USA

    Theresa A. Pardo

  3. Myongji University, Seoul, Korea (Republic of)

    Taewoo Nam

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Mustapha, K., Mcheick, H., Mellouli, S. (2016). Smart Cities and Resilience Plans: A Multi-Agent Based Simulation for Extreme Event Rescuing. In: Gil-Garcia, J., Pardo, T., Nam, T. (eds) Smarter as the New Urban Agenda. Public Administration and Information Technology, vol 11. Springer, Cham. https://doi.org/10.1007/978-3-319-17620-8_8

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