A Knowledge-Based Multi-agent Geo-simulation Framework: Application to Intelligent Sensor Web Deployment

Mekni, Mehdi; Haddad, Hedi

doi:10.1109/sensorcomm.2010.111

Cited by 3 publications

(3 citation statements)

References 12 publications

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“…When an event of interest is triggered by the sensors, the system first identifies what are its possible effects, their associated level risk, and where and when they may occur and then reserves the relevant sensor network resources in order to collect data in right place and time (Jabeur and Haddad, 2009). In a related work (Mekni and Haddad, 2010) authors used semantic knowledge about events and their spatio-temporal effects to develop an integrated knowledge-based multi-agent geo-simulation framework for intelligent sensor web deployment. Figure 3 illustrates the main components of the framework.…”

Section: Encoding Data Using Conceptual Graphsmentioning

confidence: 99%

“…3. Architecture of the knowledge-based multi-agent geo-simulation framework for intelligent sensor web deployment (Mekni and Haddad, 2010) Multi-Agent Geo-Simulation is used to simulate the behaviour of a sensor network in a dynamic virtual geographic environment. Sensors are modeled as intelligent agents embedded in an informed virtual space where dynamic phenomena can occur.…”

Section: Encoding Data Using Conceptual Graphsmentioning

confidence: 99%

See 1 more Smart Citation

Sensor Network and GeoSimulation: Keystones for Spatial Decision Support Systems

Jabeur¹,

Sahli²,

Haddad³

2011

Efficient Decision Support Systems - Practice and Challenges in Multidisciplinary Domains

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Section: Encoding Data Using Conceptual Graphsmentioning

confidence: 99%

Section: Encoding Data Using Conceptual Graphsmentioning

confidence: 99%

Sensor Network and GeoSimulation: Keystones for Spatial Decision Support Systems

Jabeur¹,

Sahli²,

Haddad³

2011

Efficient Decision Support Systems - Practice and Challenges in Multidisciplinary Domains

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“…This is the concept of a multi-agent geo-simulation (MAGS) model which utilize agent-based modeling to simulate agents with respective geographic locations and to analyze how different agents and agent aggregations interact and change spatially and temporally (Mekni & Haddad, 2010;Crooks, Hudson-Smith, & Patel, 2010). One such application is on building evacuation for which ABM is integrated with 3D indoor spatial data to model human behavior during evacuation events and simulate evacuation scenarios visualized in 3D.…”

Section: Introductionmentioning

confidence: 99%

3DGIS-Based Multi-Agent Geosimulation and Visualization of Building Evacuation Using GAMA Platform

Macatulad

Blanco

2014

Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci.

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ABSTRACT:Recent GIS applications have already extended analyses from the traditional 2-2.5D environment (x,y,attributes) to 3D space (x,y,z,attributes). Coupled with agent-based modeling (ABM), available 3DGIS data can be used to develop simulation models for improved analysis of spatial data and spatial processes. One such application is on building evacuation for which ABM is integrated with 3D indoor spatial data to model human behavior during evacuation events and simulate evacuation scenarios visualized in 3D. The research presented in this paper develops a multi-agent geosimulation model for building evacuation, integrating 3DGIS dataset of the case study building as input in ABM using the GAMA simulation platform. This model is intended to complement and improve traditional approaches in building evacuation planning and management such as earthquake and fire drills. The initial model developed includes PEOPLE agents to model the building occupants, and FLOORS, ROOMS, INDOOR_PATHS and EXIT_POINTS agents, which are modeled from the 3DGIS layers. The INDOOR_PATHS and EXIT_POINTS agents influence the movement of PEOPLE agents. Test simulations were performed involving PEOPLE agents placed in rooms of the building based on potential number of occupants computed based from the floor area of each room. The PEOPLE agents are programmed to find the shortest path along the INDOOR_PATHS towards the EXIT_POINTS instance designated for each room of the building. The simulation computes for the total time it takes for all PEOPLE agents to exit the building.

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A 3DGIS multi-agent geo-simulation model for assessment of building evacuation scenarios considering urgency and knowledge of exits

Macatulad

Blanco

2018

International Journal of Urban Sciences

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A Knowledge-Based Multi-agent Geo-simulation Framework: Application to Intelligent Sensor Web Deployment

Cited by 3 publications

References 12 publications

Sensor Network and GeoSimulation: Keystones for Spatial Decision Support Systems

Sensor Network and GeoSimulation: Keystones for Spatial Decision Support Systems

3DGIS-Based Multi-Agent Geosimulation and Visualization of Building Evacuation Using GAMA Platform

A 3DGIS multi-agent geo-simulation model for assessment of building evacuation scenarios considering urgency and knowledge of exits

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