In leisure spaces, particularly theme parks and museums, researchers and managers have long been using simulation tools to tackle the big issue associated with attractiveness, flow management. In this research, we present the management and planning perspective of a multi-agent simulation tool which models the behavior of skiers in a ski-area. This is the first tool able to simulate and compare management and planning scenarios as well as their impacts on the comfort of skiers, in particular ski-area waiting times. This paper aims to integrate multiple data sources to calibrate the simulation on a real case study. An original field survey of users during a week details the skier population. The first average skier speeds are calculated from GPS data on one ordinary day. The validation data are used to calibrate the parameters of the behavioral model. A demonstration of the simulation tool is conducted on the La Plagne ski-area, one of the largest in France. A test case, the construction of new housing in a station near the ski-area, is conducted. An addition of 1620 new skiers delays the skier average waiting time by 12 pourcents.

中文翻译：

---

为计划和管理建模滑雪者行为。Dynaski，位于拥挤滑雪区的代理商

在休闲场所，特别是主题公园和博物馆，研究人员和管理人员长期以来一直使用模拟工具来解决与吸引力，流量管理相关的重大问题。在这项研究中，我们介绍了一种多主体仿真工具的管理和规划观点，该工具可对滑雪者在滑雪场中的行为进行建模。这是第一个能够模拟和比较管理和计划方案及其对滑雪者舒适度（尤其是滑雪区等待时间）的影响的工具。本文旨在集成多个数据源，以在实际案例研究中校准模拟。一周内对用户进行的原始现场调查详细说明了滑雪者的数量。滑雪者的第一平均速度是在一个平日中根据GPS数据计算得出的。验证数据用于校准行为模型的参数。在法国最大的滑雪场La Plagne上进行了模拟工具的演示。进行了一个测试案例，即在滑雪场附近的车站中建造新房屋。增加了1620名新滑雪者，使滑雪者的平均等候时间延迟了12％。