Modeling formalisms for dynamic structure systems
ACM Transactions on Modeling and Computer Simulation (TOMACS)
Distributed supply chain simulation in a DEVS/CORBA execution environment
Proceedings of the 31st conference on Winter simulation: Simulation---a bridge to the future - Volume 2
Timed cell-DEVS: modeling and simulation of cell spaces
Discrete event modelng and simulation technologies
Dynamic structures in modeling and simulation: a reflective approach
ACM Transactions on Modeling and Computer Simulation (TOMACS)
Theory of Modelling and Simulation
Theory of Modelling and Simulation
Theory of Modeling and Simulation
Theory of Modeling and Simulation
DEVS-C++: A High Performance Modelling and Simulation Environment
HICSS '96 Proceedings of the 29th Hawaii International Conference on System Sciences Volume 1: Software Technology and Architecture
Models of Complex Physical Systems Using Cell-DEVS
SS '01 Proceedings of the 34th Annual Simulation Symposium (SS01)
A hybrid agent-cellular space modeling approach for fire spread and suppression simulation
WSC '05 Proceedings of the 37th conference on Winter simulation
Towards validation of DEVS-FIRE wildfire simulation model
Proceedings of the 2008 Spring simulation multiconference
Partial-modular DEVS for improving performance of cellular space wildfire spread simulation
Proceedings of the 40th Conference on Winter Simulation
Towards applications of particle filters in wildfire spread simulation
Proceedings of the 40th Conference on Winter Simulation
Integrated simulation and optimization for wildfire containment
ACM Transactions on Modeling and Computer Simulation (TOMACS)
State estimation using particle filters in wildfire spread simulation
SpringSim '09 Proceedings of the 2009 Spring Simulation Multiconference
Profile-based partition for parallel simulation of DEVS-FIRE
SpringSim '10 Proceedings of the 2010 Spring Simulation Multiconference
A dynamic data driven application system for wildfire spread simulation
Winter Simulation Conference
Estimation of new ignited fires using particle filters in wildfire spread simulation
Proceedings of the 44th Annual Simulation Symposium
Towards parameter estimation in wildfire spread simulation based on sequential Monte Carlo methods
Proceedings of the 44th Annual Simulation Symposium
Simulation in the Cloud Using Handheld Devices
CCGRID '12 Proceedings of the 2012 12th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (ccgrid 2012)
On time granularity and event granularity in simulation service composition (WIP)
Proceedings of the 2012 Symposium on Theory of Modeling and Simulation - DEVS Integrative M&S Symposium
Exploring spatial partition for parallel simulation of DEVS-FIRE
SCSC '09 Proceedings of the 2009 Summer Computer Simulation Conference
Exploiting Sensor Spatial Correlation for Dynamic Data Driven Simulation of Wildfire
PADS '12 Proceedings of the 2012 ACM/IEEE/SCS 26th Workshop on Principles of Advanced and Distributed Simulation
Data assimilation using sequential monte carlo methods in wildfire spread simulation
ACM Transactions on Modeling and Computer Simulation (TOMACS)
Cloud MapReduce for particle filter-based data assimilation for wildfire spread simulation
Proceedings of the High Performance Computing Symposium
Hi-index | 0.00 |
Simulating wildfire spread and containment remains a challenging problem due to the complexity of fire behavior. In this paper, the authors present an integrated simulation environment for surface wildfire spread and containment called DEVS-FIRE. DEVS-FIRE is based on the discrete event system specification (DEVS) and uses a cellular space model for simulating wildfire spread and agent models for simulating wildfire containment. The cellular space model incorporates real spatial fuels data, terrain data and temporal weather data into the prediction of wildfire behavior across both time and space. DEVS-FIRE is designed to be integrated with stochastic optimization models that use the scenario results from the simulation to determine an optimal mix of firefighting resources to dispatch to a wildfire. Preliminary computational experiments with fuel, terrain and weather data for a real forest demonstrate the viability of the integrated simulation environment for wildfire spread and containment.