• 主题
高级搜索  >
历史搜索 清空历史
首页> 外文会议>AIAA modeling and simulation technologies conference;AIAA SciTech forum >Enhancing Scenario-Centric Air Traffic Control Training
【24h】

Enhancing Scenario-Centric Air Traffic Control Training

机译：加强以情景为中心的空中交通管制培训

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

摘要

As one of the main focuses of Federal Aviation Administration (FAA) Academy, Air Traffic Control (ATC) training program heavily relies on simulation-based training and is constantly looking into optimizing the use of such technologies. On the other hand, ATC simulation scenarios are not only used for training purposes, but also are key components for conducting human performance experiments. From a recent visit at the FAA Academy, it is well apparent that there is an immediate need for a diverse pool of ATC training scenarios available to trainees off-site. Currently, training scenarios are generated manually from a subject-matter-expert's (i.e. controllers) oral or written briefing. The effort in extracting and verifying operational scenarios and translating them into a machine-understandable language is rather cumbersome and currently conducted completely manual. To address these challenges, here we propose to develop a scenario exploration technology that provides a platform for FAA Academy trainees and instructors to exercise variety of scenarios in the ATC domain. The proposed technology provides a platform for instructors and trainees to explore various training exercises. By taking a model-driven approach and extending the recently proposed domain-specific Aviation Scenario Definition Language (ASDL), we provide ATC scenario specification and exploration platform to easily create a variety of ATC scenarios. Similar to ASDL approach, we first define an ontology for ATC extension, then specify scenario logic using a formal specification language such as statechart, and finally, include a metamodel to allow for scenario modeling.
机译：作为联邦航空管理局（FAA）学院的主要重点之一，空中交通管制（ATC）培训计划在很大程度上依赖于基于模拟的培训，并且一直在寻求优化使用此类技术的方法。另一方面，ATC模拟场景不仅用于培训目的，而且还是进行人体性能实验的关键组成部分。从最近一次访问FAA学院开始，很明显，迫切需要为现场的学员提供多样化的ATC培训方案库。目前，培训方案是由主题专家（即控制器）的口头或书面简介手动生成的。提取和验证操作方案并将其转换为机器可理解的语言的工作相当繁琐，并且目前完全由人工完成。为了应对这些挑战，我们建议在这里开发一种情景探索技术，为FAA学院的受训者和讲师提供一个在ATC领域练习各种情景的平台。所提出的技术为教师和受训人员探索各种培训演习提供了一个平台。通过采用模型驱动的方法并扩展最近提出的特定领域的航空方案定义语言（ASDL），我们提供了ATC方案规范和探索平台，可轻松创建各种ATC方案。与ASDL方法类似，我们首先为ATC扩展定义本体，然后使用诸如Statechart之类的形式化规范语言指定场景逻辑，最后，包括一个用于场景建模的元模型。

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