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。
-
[1] ZHOU Tao, HAN Xiao-pu, YAN Xiao-yong, et al. Statistical mechanics on temporal and spatial activities of human[J]. Journal of University of Electronic Science and Technology of China, 2013, 42(4): 481-540. [2] CARDOSI K. Time required for transmission of time-critical air traffic control messages in an en route environment[J]. International Journal of Aviation Psychology, 1993, 3: 303-313. [3] ZHOU Tao. Human activity pattern on on-line movie watching[J]. Complex Systems and Complexity Science, 2008, 5(1): 1-5. [4] CORKER K M, GORE B F, FLEMING K, et al. Free flight and the context of control: experiments and modeling to determine the impact of distributed air-ground air traffic management on safety and procedures[C]//3rd USA/Europe Air Traffic Management R&D Seminar. Naples: [s.n.], 2000. [5] Han Xiao-pu, WANG Bing-hong, ZHOU Tao. Researches of human dynamics[J]. Complex Systems and Complexity Science, 2010, 7(2-3): 132-144. [6] MANNING C, MILLS S H, FOX C M, et al. Using air traffic control taskload measures and communication events to predict subjective workload[R]. Washington: Federal Aviation Administration, 2002. [7] LI Nan-nan, ZHOU Tao, ZHANG Ning. Concept and empirical results of human dynamics[J]. Complex Systems and Complexity Science, 2008, 5(2): 16-24. [8] MANNING C, FOX C, PFLEIDERER E. Relationships between measures of air traffic controller voice communications, taskload, and traffic complexity[C]//5th USA/Europe Air Traffic Management R&D Seminar. Budapest: [s.n.], 2003. [9] WU Jian-jun, XU Shang-yi, SUN Hui-jun. Detrended fluctuation analysis of time series in mixed traffic flow[J]. Acta Phys Sin, 2011, 60(1): 019502.1-019502.7. [10] MANNING C, PFLEIDERER E. Relationship of sector activity and sector complexity to air traffic controller taskload[R]. Oklahoma, Fedral Aviation Administration, Civil Aerospace Medical Institute, DOT/FAA/AM-06/29, 2006. [11] BARABASI A L. The origin of bursts and heavy tails in human dynamics[J]. Nature, 2005, 435: 207-211. [12] MALMGREN R D, STOUFFER D B, CAMPANHARO A, et al. On universality in human correspondence activity[J]. Science, 2009, 325(5948): 1696-1700. [13] WU Y, ZHOU C, XIAO J, et al. Evidence for a bimodal distribution in human communication[J]. Proceedings of the National Academy of Sciences, 2010, 107(44): 18803- 18808. [14] OLIVEIRA J G, BARABASI A L. Human dynamics: darwin and einstein correspondence patterns[J]. Nature, 2005(437): 1251. [15] MALMGREN R D, STOUFFER D B, MOTTER A E, et al. A poissonian explanation for heavy tails in e-mail communication[J]. Proceedings of the National Academy of Sciences, 2008, 105(47): 18153-18158. [16] HARDER U, PACZUSKI M. Correlated dynamics in human printing behavior[J]. Physica A: Statistical Mechanics and its Applications, 2006, 361(1): 329-336. [17] ZHOU T, KIET H, KIM J B, et al. Role of activity in human dynamics[J]. Europhysics Letters, 2008, 82(2): 28002.1-28002.5. [18] GONZALEZ M C, HIDALGO C A, BARABASI A L. Understanding individual human mobility patterns[J]. Nature, 2008(453): 779-782. [19] ZHAO Z D, XIA H, SHANG M S, et al. Empirical analysis on the human dynamics of a large-scale short message communication system[J]. Chin Phys Lett, 2011, 28(6): 068901. [20] WUCHTY S, UZZI B. Human communication dynamics in digital footsteps: a study of the agreement between self- reported ties and email networks[J]. Plos One, 2011, 6(11): e26972.1- e26972.8. [21] KAN A, CHAN J, HAYES C, et al. A time decoupling approach for studying forum dynamics[J]. World Wide Web, 2012, 1(1): 1-26. [22] 周涛, 韩筱璞, 闫小勇, 等. 人类行为时空特性的统计力学[J]. 电子科技大学学报, 2013, 42(4): 481-540. [23] WANG P, LEI T, YEUNG C H, et al. Heterogenous human dynamics in intra-and inter-day time scales[J]. Europhys Lett, 2011, 94(1): 18005. [24] 周涛. 在线电影点播中的人类动力学模式[J]. 复杂系统与复杂性科学, 2008, 5(1): 1-5. [25] 韩筱璞, 汪秉宏, 周涛. 人类行为动力学研究[J]. 复杂系统与复杂性科学, 2010, 7(2-3), 132-144. [26] 李楠楠, 周涛, 张宁. 人类动力学基本概念与实证分析[J]. 复杂系统与复杂性科学, 2008, 5(2): 16-24. [27] ZHAO Z D, ZHOU T. Empirical analysis of online human dynamics[J]. Physica A, 2012, 391(11): 3308-3315. [28] POPESCU V, AUGRIS H, FEIGH K M. A stochastic model for air traffic control radio channel utilization[C]// 4th International Conference on Research in Air Transportation. Budapest: [s.n.], 2010. [29] YAN J W, FRIZO V, MING H H, et al. Empirical analysis of air traffic controller dynamics[J]. Transportation Research Part C: Emerging Technologies, 2013(33): 203- 213. [30] KANTELHARDT J W, KOSCIELNY-BUNDE E, REGO H, et al. Detecting long-range correlations with detrended fluctuation analysis[J]. Physica A: Statistical Mechanics and Its Applications, 2001, 295(3): 441-454. [31] KANTELHARDT J W, ZSCHIEGNER S A, KOSCIELNY-BUNDE E, et al. Multifractal detrended fluctuation analysis of nonstationary time series[J]. Physica A: Statistical Mechanics and Its Applications, 2002, 316(1-4): 87-114. [32] PENG C K, BULDYREV S V, HAVLIN S, et al. Mosaic organization of DNA nucleotides[J]. Physical Review E, 1994, 49(2): 1685-1689. [33] 吴建军, 徐尚义, 孙会君. 混合交通流时间序列的去趋势波动分析[J]. 物理学报, 2011, 60(1): 019502.1- 019502.7. [34] ZHAO Z D, CAI S M, HUANG J M, et al. Scaling behavior owf online human activity[J]. Europhysics Letters, 2012, 100(4): 48004. [35] MITZENMACHER M. A brief history of generative models for power law and lognormal distributions[J]. Internet Mathematics, 2004, 1: 226-251. [36] CLAUSET A, SHALIZI C R, NEWMAN, M E J. Power-law distributions in empirical data[J]. SIAM Review, 2009(51): 661-703.
点击查看大图
计量
- 文章访问数: 5349
- HTML全文浏览量: 136
- PDF下载量: 135
- 被引次数: 0