Artificial Snow Optimization in Winter Sport Destinations Using a Multi-agent Simulation
Détails
ID Serval
serval:BIB_1CA3DA2C39D2
Type
Actes de conférence (partie): contribution originale à la littérature scientifique, publiée à l'occasion de conférences scientifiques, dans un ouvrage de compte-rendu (proceedings), ou dans l'édition spéciale d'un journal reconnu (conference proceedings).
Collection
Publications
Institution
Titre
Artificial Snow Optimization in Winter Sport Destinations Using a Multi-agent Simulation
Titre de la conférence
Advances on Practical Applications of Agents and Multiagent Systems: 9th International Conference on Practical Applications of Agents and Multiagent Systems, Salamanca, Spain
Editeur
Springer Berlin Heidelberg
ISBN
978-3-642-19875-5
ISSN-L
1867-5662
Statut éditorial
Publié
Date de publication
2011
Editeur⸱rice scientifique
Demazeau Y., Pechoucek M., Corchado J.M., Pérez J.B.
Volume
88
Pages
201-210
Langue
anglais
Notes
Revilloud2011
Résumé
This paper presents the Juste-Neige system for predicting the snow
height on the ski runs of a resort using a multi-agent simulation
software. Its aim is to facilitate snow cover management in order
to i) reduce the production cost of artificial snow and to improve
the profit margin for the companies managing the ski resorts; and
ii) to reduce the water and energy consumption, and thus to reduce
the environmental impact, by producing only the snow needed for a
good skiing experience. The software provides maps with the predicted
snow heights for up to 13 days. On these maps, the areas most exposed
to snow erosion are highlighted. The software proceeds in three steps:
i) interpolation of snow height measurements with a neural network;
ii) local meteorological forecasts for every ski resort; iii) simulation
of the impact caused by skiers using a multi-agent system. The software
has been evaluated in the Swiss ski resort of Verbier and provides
useful predictions.
height on the ski runs of a resort using a multi-agent simulation
software. Its aim is to facilitate snow cover management in order
to i) reduce the production cost of artificial snow and to improve
the profit margin for the companies managing the ski resorts; and
ii) to reduce the water and energy consumption, and thus to reduce
the environmental impact, by producing only the snow needed for a
good skiing experience. The software provides maps with the predicted
snow heights for up to 13 days. On these maps, the areas most exposed
to snow erosion are highlighted. The software proceeds in three steps:
i) interpolation of snow height measurements with a neural network;
ii) local meteorological forecasts for every ski resort; iii) simulation
of the impact caused by skiers using a multi-agent system. The software
has been evaluated in the Swiss ski resort of Verbier and provides
useful predictions.
Mots-clé
Multi-agent simulation and artificial snow optimization
Création de la notice
25/11/2013 17:18
Dernière modification de la notice
20/08/2019 12:53
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