基于历史数据的管制员通信行为特征分析

丛玮, 胡明华, 王艳军

丛玮, 胡明华, 王艳军. 基于历史数据的管制员通信行为特征分析[J]. 电子科技大学学报, 2015, 44(4): 617-622. DOI: 10.3969/j.issn.1001-0548.2015.04.024
引用本文: 丛玮, 胡明华, 王艳军. 基于历史数据的管制员通信行为特征分析[J]. 电子科技大学学报, 2015, 44(4): 617-622. DOI: 10.3969/j.issn.1001-0548.2015.04.024
CONG Wei, HU Ming-hua, WANG Yan-jun. Temporal Characteristics of Air Traffic Controller's Communication Activities[J]. Journal of University of Electronic Science and Technology of China, 2015, 44(4): 617-622. DOI: 10.3969/j.issn.1001-0548.2015.04.024
Citation: CONG Wei, HU Ming-hua, WANG Yan-jun. Temporal Characteristics of Air Traffic Controller's Communication Activities[J]. Journal of University of Electronic Science and Technology of China, 2015, 44(4): 617-622. DOI: 10.3969/j.issn.1001-0548.2015.04.024

基于历史数据的管制员通信行为特征分析

详细信息
  • 中图分类号: TP13;U8

Temporal Characteristics of Air Traffic Controller's Communication Activities

  • 摘要: 管制员的语音通信行为对空中交通的安全高效运行至关重要。借鉴人类动力学的理论和方法,深入分析了北京、上海、重庆和贵阳4个地区繁忙扇区的管制员语音通信数据,通过研究其时间分布特征挖掘了空中交通管制员的动力学行为。首先使用去趋势波动分析法发现管制员通信间隔时间的长程相关性;然后使用最大似然估计法近似判别所有通信间隔时间较符合逆高斯分布,而通信时间间隔大于11 s的数据更符合幂律分布特征,且幂指数 。分析结果表明,人类在面临压力时执行任务的动力学行为与其他日常行为相似,行为发生的间隔分布具有重尾特征,个体的分布具有差异性;管制扇区的类型,即区域管制扇区和进近管制扇区对管制员行为特征的影响不明显。
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  • 刊出日期:  2015-08-14

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