TY  - CONF
T1  - Artificial snow optimization in winter sport destinations using a multi-agent simulation
A1  - Revilloud, Marc
A1  - Loubier, Jean Christophe
A1  - Doctor, Marut
A1  - Kanevski, Mikhail
A1  - Timonin, Vadim
A1  - Schumacher, Michael
TI  - 9th International Conference on Practical Applications of Agents and Multi-Agent Systems (PAAMS'11)
T3  - Advances in Intelligent and Soft-Computing
Y1  - 2011
PB  - Springer Verlag
KW  - artificial snow optimization
KW  - Multiagent simulation
N2  - 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.
ER  -