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Determination of Controller Issued Taxi Commands using Speech Recognition and Contextual Inference

机译:使用语音识别和上下文推断,确定控制器的颁发的出租车命令

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The focus of the Determination of Controller Issued Taxi Commands (DCITC) Program is to evaluate technology that could be used to proactively determine the taxi route that an aircraft should or is likely to follow on the airport surface. The technological approaches being investigated include speech recognition (SR) and contextual inference (CI). The primary motivation for the concept is the expectation that effective and automatic prediction and/or determination of taxi routes could eventually provide the basis for a situational awareness or safety logic enhancement for use by air traffic controllers. Runway incursions are still occurring at significant rates. The reduction of runway incursions has been identified as one of the most important aviation safety initiatives by the Federal Aviation Administration (FAA), the National Transportation Safety Board (NTSB), and Congress. Many improvements in training, procedures, and technology have been introduced, but there are still hundreds of incursions each year. Although it seems obvious that earlier detection of taxiing errors would help to prevent runway incursions, there is no system in place to automatically detect such errors.
机译:控制员颁发的出租车命令(DCITC)计划的重点是评估可用于主动确定飞机应该或可能在机场表面上遵循的出租车路线的技术。正在研究的技术方法包括语音识别(SR)和上下文推理(CI)。该概念的主要动机是期望有效和自动预测和/或出租车路线的确定最终可以为空中交通管制员使用的情境意识或安全逻辑增强提供基础。跑道侵入仍然以显着的速率发生。跑道侵占的减少已被确定为联邦航空管理局(FAA),国家运输安全委员会(NTSB)和国会最重要的航空安全举措之一。介绍了许多培训,程序和技术的改进,但每年仍有数百次入侵。虽然似乎显而易见的是,早期检测的滑行错误有助于防止跑道入侵,但没有系统可以自动检测此类错误。

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