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Denali national park and preserve's transportation system: How a discrete event simulation model can enlighten complexity

机译:德纳利国家公园和自然保护区的交通系统:离散事件模拟模型如何启发复杂性

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Denali National Park and Preserve's (DNPP) Vehicle Management Plan and Environmental Impact Statement (VMP) limits road traffic to 160 vehicles permits per day. This is a tough constraint considering DNPP has 600,000 visitors per year and the park road is open about 110 days. DNPP is using analytics to study its transportation system to ensure visitor experiences are of high quality and park resources, including the historic and primitive character of the park road, remain protected under the new permit regulations. A discrete event simulation (DES) model was developed in ExtendSim to study all park traffic. The DES model arranges the complex behavior of DNPP's road user groups into a defined event sequence using both empirical data and institutional knowledge. The DES model tests traffic volume and schedule scenarios to maximize the visitor experience while still meeting all VMP compliance standards. The DES model is used to improve DNPP's ability to make science-based management decisions about its transportation system.
机译:德纳利国家公园和自然保护区(DNPP)的车辆管理计划和环境影响声明(VMP)将道路交通限制为每天160辆车。考虑到DNPP每年有60万游客,公园道路开放约110天,因此这是一个严格的约束条件。 DNPP正在使用分析技术研究其运输系统,以确保游客体验的质量和公园资源(包括公园道路的历史和原始特征)都受到新许可法规的保护。在ExtendSim中开发了一个离散事件模拟(DES)模型来研究所有公园的交通。 DES模型使用经验数据和机构知识将DNPP道路用户群体的复杂行为安排为已定义的事件序列。 DES模型测试流量和日程安排方案,以最大程度地提高访问者的体验,同时仍然满足所有VMP合规标准。 DES模型用于提高DNPP对其运输系统做出基于科学的管理决策的能力。

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