• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文会议>International Conference on Social Informatics >Modeling and Managing Airport Passenger Flow Under Uncertainty: A Case of Fukuoka Airport in Japan
【24h】

Modeling and Managing Airport Passenger Flow Under Uncertainty: A Case of Fukuoka Airport in Japan

机译：不确定条件下的机场客流建模与管理：以日本福冈机场为例

获取原文
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Airport terminal decision makers in recent years need to deal with unexpected and sudden congestion situations. Although various types of mathematical researchs has analyzed the congestion situations and have succeed to manage a subsystem, they cannot sufficiently describe the variety of phenomena observed in a real airport terminal, because they have not considered the interactions between subsystems of the real airport terminal. A simulation approach enables us to describe the interactions between facilities and passenger behavior in detail as a whole airport system and to find various types of possible congestion situations. The simulation approach, however, cannot directly lead exact prediction that can be useful in practical management and operation for difficulties of modeling a complex airport terminal system and acquiring complete input data. In this paper, (1) we modeled Fukuoka airport international terminal in Japan as Complex Adaptive System and built a passenger flow simulation based on the Discrete Event Model. Validity of the model was confirmed by experiments. Moreover, (2) we confirmed that it is possible to acquire simulation input data from discussing with stakeholders using the simulation. Therefore, we believe that it is possible to reduce uncertainty of the model systematically by continuing modeling, predicting, and discussing with stakeholders, repeatedly.
机译：近年来，机场航站楼的决策者需要应对突发和突发的交通拥挤情况。尽管各种类型的数学研究已经分析了拥塞情况并成功管理了子系统，但是由于它们没有考虑实际机场航站楼子系统之间的相互作用，因此无法充分描述在实际机场航站楼中观察到的各种现象。仿真方法使我们能够详细描述整个机场系统中设施与旅客行为之间的相互作用，并发现各种类型的可能拥堵情况。然而，由于难以对复杂的机场候机楼系统进行建模和获取完整的输入数据，因此模拟方法无法直接进行精确的预测，这在实际的管理和操作中很有用。在本文中，（1）我们将日本福冈机场国际航站楼建模为复杂自适应系统，并基于离散事件模型构建了客流仿真。通过实验证实了该模型的有效性。此外，（2）我们确认可以通过使用模拟与利益相关者进行讨论来获取模拟输入数据。因此，我们相信，通过不断地重复建模，预测和与利益相关者讨论，可以系统地减少模型的不确定性。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号