Randomizing activity in fire spreading simulations
In this paper, we suggest the use of activity paradigm to model the uncertain and imprecise nature of the local dynamics in fire spreading simulations. Formerly based on a very simple set of rules, Cellular Automata (CA) models are remarkable in their ability to easily simulate fire spreading behavi...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
EDP Sciences
2013-01-01
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| Series: | ITM Web of Conferences |
| Online Access: | http://dx.doi.org/10.1051/itmconf/20130102003 |
| _version_ | 1818871080548302848 |
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| author | Innocenti Eric Cancellieri Dominique |
| author_facet | Innocenti Eric Cancellieri Dominique |
| author_sort | Innocenti Eric |
| collection | DOAJ |
| description | In this paper, we suggest the use of activity paradigm to model the uncertain and imprecise nature of the local dynamics in fire spreading simulations. Formerly based on a very simple set of rules, Cellular Automata (CA) models are remarkable in their ability to easily simulate fire spreading behaviour. A new algorithm to track activity concept in a (CA) model is presented. It is called random-activity and it combines activity and stochastic precepts. This algorithm enhances the realism of the spatial simulations. It resolves the problem of the spurious symmetries of the square lattice usually encountered which affect negatively outputs. Experiment shows that the approach enhances fire spreading simulations which are based on local description of the fire dynamics with general descriptive laws. A comparison between classical and random-activity algorithms is performed. The random-activity algorithm proposed outperforms the classical algorithm in terms of graphical restitutions’ realism. It might be used to develop fire risk-management tools. A new way is presented to combine activity concept and stochastic modelling in a (CA) model. |
| first_indexed | 2024-12-19T12:17:14Z |
| format | Article |
| id | doaj.art-e43a8a0cd20e4edcb33c6756be29244b |
| institution | Directory Open Access Journal |
| issn | 2271-2097 |
| language | English |
| last_indexed | 2024-12-19T12:17:14Z |
| publishDate | 2013-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | ITM Web of Conferences |
| spelling | doaj.art-e43a8a0cd20e4edcb33c6756be29244b2022-12-21T20:21:55ZengEDP SciencesITM Web of Conferences2271-20972013-01-0110200310.1051/itmconf/20130102003itmconf_acti2012_02003Randomizing activity in fire spreading simulationsInnocenti EricCancellieri DominiqueIn this paper, we suggest the use of activity paradigm to model the uncertain and imprecise nature of the local dynamics in fire spreading simulations. Formerly based on a very simple set of rules, Cellular Automata (CA) models are remarkable in their ability to easily simulate fire spreading behaviour. A new algorithm to track activity concept in a (CA) model is presented. It is called random-activity and it combines activity and stochastic precepts. This algorithm enhances the realism of the spatial simulations. It resolves the problem of the spurious symmetries of the square lattice usually encountered which affect negatively outputs. Experiment shows that the approach enhances fire spreading simulations which are based on local description of the fire dynamics with general descriptive laws. A comparison between classical and random-activity algorithms is performed. The random-activity algorithm proposed outperforms the classical algorithm in terms of graphical restitutions’ realism. It might be used to develop fire risk-management tools. A new way is presented to combine activity concept and stochastic modelling in a (CA) model.http://dx.doi.org/10.1051/itmconf/20130102003 |
| spellingShingle | Innocenti Eric Cancellieri Dominique Randomizing activity in fire spreading simulations ITM Web of Conferences |
| title | Randomizing activity in fire spreading simulations |
| title_full | Randomizing activity in fire spreading simulations |
| title_fullStr | Randomizing activity in fire spreading simulations |
| title_full_unstemmed | Randomizing activity in fire spreading simulations |
| title_short | Randomizing activity in fire spreading simulations |
| title_sort | randomizing activity in fire spreading simulations |
| url | http://dx.doi.org/10.1051/itmconf/20130102003 |
| work_keys_str_mv | AT innocentieric randomizingactivityinfirespreadingsimulations AT cancellieridominique randomizingactivityinfirespreadingsimulations |