Artificial Snow Optimization in Winter Sport Destinations Using a Multi-agent Simulation
Details
Serval ID
serval:BIB_1CA3DA2C39D2
Type
Inproceedings: an article in a conference proceedings.
Collection
Publications
Institution
Title
Artificial Snow Optimization in Winter Sport Destinations Using a Multi-agent Simulation
Title of the conference
Advances on Practical Applications of Agents and Multiagent Systems: 9th International Conference on Practical Applications of Agents and Multiagent Systems, Salamanca, Spain
Publisher
Springer Berlin Heidelberg
ISBN
978-3-642-19875-5
ISSN-L
1867-5662
Publication state
Published
Issued date
2011
Editor
Demazeau Y., Pechoucek M., Corchado J.M., Pérez J.B.
Volume
88
Pages
201-210
Language
english
Notes
Revilloud2011
Abstract
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.
Keywords
Multi-agent simulation and artificial snow optimization
Create date
25/11/2013 18:18
Last modification date
20/08/2019 13:53
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