面向快速仿真的可配置空中交通管制代理的开发

David J. Bodoh, Clark D. Britan, Paden Coats
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引用次数: 1

摘要

联邦航空管理局不断追求进步,以提高运营效率,同时保护乘客安全。新概念和新技术的研究通常需要使用模拟来经济有效地评估这些设想的改进对真实系统的抽象版本的影响。为了提高我们对各种概念和场景进行快速模拟的能力,MITRE公司已经开始开发一个支持可配置空中交通管制代理的模拟平台。这些代理被设计成在刺激-反应框架中执行一套简单的规则。预测冲突和计量延迟等刺激被发送到控制器代理,控制器通过飞行命令(如速度、高度或航向变化)做出响应。该控制器代理是可配置的,因此分析人员可以为给定实验中的不同实验和不同部门定义不同的响应策略和刺激响应优先级。当集成在快速模拟环境中时,该代理使用户能够运行数千种场景的实验,因为不需要人类提供飞行命令。本文阐述了控制器代理的设计框架以及模型的验证和验证。MITRE通过两种方式验证了这个模型:首先,将控制器代理发出的命令的数量和类型与历史数据进行比较。其次,通过比较有控制器代理和没有控制器代理的仿真运行中的间隔冲突。
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Developing a Configurable Air Traffic Controller Agent for Fast-Time Simulation
The Federal Aviation Administration continually pursues advances that improve operational efficiency while preserving passenger safety. Research of new concepts and technologies often requires the use of simulation to cost-effectively assess the impact of these envisioned improvements on an abstracted version of the real system. In an effort to improve our ability to conduct fast-time simulations on a wide range of concepts and scenarios, The MITRE Corporation has begun the development of a simulation platform that supports configurable air traffic control agents. The agents are designed to exercise a set of simple rules in a stimulus-response framework. Stimuli such as predicted conflicts and metering delays are sent to a controller agent, and the controller responds via flight commands such as speed, altitude, or heading changes. This controller agent is configurable such that analysts can define different response strategies and stimuli response prioritizations for different experiments and for different sectors within a given experiment. When integrated in a fast-time simulation environment, this agent enables users to run experiments with thousands of scenarios as no humans are needed to provide flight commands. This paper illustrates the design framework for the controller agent as well as the model validation and verification. MITRE validated and verified this model in two ways: first, by comparing the number of and type of commands that the controller agent issued with historical data. Second, by comparing the spacing conflicts in simulation runs with and without the controller agent.
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