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Network analysis reveals patterns behind air safety events

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  • Zanin, Massimiliano

Abstract

Complex networks have been extensively used to study the topological and dynamical characteristics of transportation systems, although far less attention has been devoted to the analysis of specific problems arising in everyday operations. In this work, the use of a network representation is proposed for studying the appearance of Loss of Separation events, a kind of safety occurrence in which two aircraft violate the minimal separation while airborne. The topological analysis of networks representing the structure of traffic flows allows identifying situations in which the probability of appearance of such events is increased. Beyond these specific results, this work demonstrates the usefulness of the complex network approach in the analysis of operational patterns and occurrences.

Suggested Citation

  • Zanin, Massimiliano, 2014. "Network analysis reveals patterns behind air safety events," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 401(C), pages 201-206.
    • Handle: RePEc:eee:phsmap:v:401:y:2014:i:c:p:201-206
    DOI: 10.1016/j.physa.2014.01.032
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    References listed on IDEAS

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    1. Wang, Bing & Tang, Huanwen & Guo, Chonghui & Xiu, Zhilong, 2006. "Entropy optimization of scale-free networks’ robustness to random failures," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 363(2), pages 591-596.
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    Cited by:

    1. Sun, Xiaoqian & Wandelt, Sebastian & Hansen, Mark & Li, Ang, 2017. "Multiple airport regions based on inter-airport temporal distances," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 101(C), pages 84-98.
    2. Bongiorno, C. & Gurtner, G. & Lillo, F. & Mantegna, R.N. & Miccichè, S., 2017. "Statistical characterization of deviations from planned flight trajectories in air traffic management," Journal of Air Transport Management, Elsevier, vol. 58(C), pages 152-163.
    3. Wang, Yanjun & Zhang, Qiqian & Zhu, Chenping & Hu, Minghua & Duong, Vu, 2016. "Human activity under high pressure: A case study on fluctuation scaling of air traffic controller’s communication behaviors," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 441(C), pages 151-157.
    4. Wang, Jin-Fa & He, Xuan & Si, Shuai-Zong & Zhao, Hai & Zheng, Chunyang & Yu, Hao, 2019. "Using complex network theory for temporal locality in network traffic flows," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 524(C), pages 722-736.
    5. Jiang, Xurui & Wen, Xiangxi & Wu, Minggong & Song, Min & Tu, Congliang, 2019. "A complex network analysis approach for identifying air traffic congestion based on independent component analysis," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 523(C), pages 364-381.
    6. Zhang, Mengyao & Huang, Tao & Guo, Zhaoxia & He, Zhenggang, 2022. "Complex-network-based traffic network analysis and dynamics: A comprehensive review," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 607(C).

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