Open Access
Volume 41, Number 1, February 2023
Page(s) 170 - 179
Published online 02 June 2023
  1. LI J H, WANG T, SAVAI M, et al. Graph-based algorithm for dynamic airspace configuration[J]. Journal of Guidance Control and Dynamics, 2010, 33(4): 1082–1094. [Article] [Google Scholar]
  2. KULKARNI S, GANESAN R, SHERRY L. Static sectorization approach to dynamic airspace configuration using approximate dynamic programming[J]. Journal of the Transportation Research Board, 2011(2266): 1–9 [Google Scholar]
  3. GIANAZZA D. Forecasting workload and airspace configuration with neural networks and tree search methods[J]. Artificial Intelligence, 2010, 174(7/8): 530–549 [Google Scholar]
  4. HUANG X, LI H N, RAO Z W, et al. Fracture behavior and self-sharpening mechanisms of polycrystalline cubic boron nitride in grinding based on cohesive element method[J]. Chinese Journal of Aeronautics, 2019, 32(12): 2727–2742. [Article] [CrossRef] [Google Scholar]
  5. LEGLAND D, GUILLON F, DEVAUX M F. Parametric mapping of cellular morphology in plant tissue sections by gray level granulometry[J]. Plant Methods, 2020, 16(3): 5872–5881 [CrossRef] [Google Scholar]
  6. TIEN M, PARK Y Y, JUNG K H, et al. Performance evaluation on the accuracy of the semantic map of an autonomous robot equipped with P2P communication module[J]. Peer-to-Peer Networking and Applications, 2020, 13(3): 704–716 [CrossRef] [Google Scholar]
  7. HAN Songchen, ZHANG Ming, HUANG Weifang. The method of optimal division of control sectors and computer realization technology[J]. Journal of Traffic and Transportation Engineering, 2003(1): 101–104. [Article] (in Chinese) [Google Scholar]
  8. WANG Lili, JIA Huafei. Sector division of airspace based on complexity analysis[J]. Journal of Nanjing University of Aeronautics and Astronautics, 2017, 49(1): 140–146. [Article] (in Chinese) [Google Scholar]
  9. SOH S W, ZHONG Z W. Sectorisation of airspace based on balanced workloads[J]. Aircraft Engineering and Aerospace Technology, 2020, 92(2): 213–221. [Article] [Google Scholar]
  10. XUE M. Airspace sector redesign based on Voronoi diagrams[J]. Journal of Aerospace Computing, Information, and Communication, 2009, 6(12): 624–634. [Article] [Google Scholar]
  11. YANG Guang, HU Minghua, WANG Yanjun. Optimization design of airspace sector structure based on nonlinear programming[J]. Journal of Transportation Engineering and Information, 2008, 6(4): 82–86. [Article] (in Chinese) [Google Scholar]
  12. GRANBERG T A, POLISHCHUK T, POLISHCHUK V, et al. Integer programming-based airspace sectorization for terminal maneuvering areas with convex sectors[J]. Journal of Air Transportation, 2019, 27(4): 169–180. [Article] [CrossRef] [Google Scholar]
  13. SERHAN D, YOON S W, CHUNG S H. Dynamic reconfiguration of terminal airspace during convective weather: robust optimization and conditional value-at-risk approaches[J]. Computers & Industrial Engineering, 2019, 132: 333–347 [CrossRef] [Google Scholar]
  14. LUO Jun, WANG Jue. Assessment and optimization of sector capacity in Beijing terminal area[J]. Science Technology and Engineering, 2012, 12(33): 8967–8970. [Article] (in Chinese) [Google Scholar]
  15. ZHANG Ming, HAN Songchen. Sector optimization method based on controller workload[J]. Journal of Traffic and Transportation Engineering, 2005(4): 86–89. [Article] (in Chinese) [Google Scholar]
  16. ZHANG Zhaoning, ZHANG Dongman. Division of regional control sectors based on delauany triangle[J]. Science, Technology and Engineering, 2014, 14(29): 100–105. [Article] (in Chinese) [Google Scholar]
  17. XU Y, PRATS X, DELAHAYE D. Synchronised demand-capacity balancing in collaborative air traffic flow management[J]. Transportation Research Part C-Emerging Technologies, 2020, 114: 359–376. [Article] [Google Scholar]
  18. SALAU E N, GARIEL M, VELA A E, et al. Aircraft proximity maps based on data-driven flow modeling[J]. Journal of Guidance, Control, and Dynamics, 2012, 35(2): 563–577. [Article] [NASA ADS] [CrossRef] [Google Scholar]
  19. JIANG X R, WEN X X, WU M G, et al. A complex network analysis approach for identifying air traffic congestion based on independent component analysis[J]. Physica, 2019, 523: 364–381 [NASA ADS] [CrossRef] [Google Scholar]
  20. GUO Shize, LU Zeming. Foundations of complex network theory[M]. Beijing: Science Press, 2012 (in Chinese) [Google Scholar]
  21. YAO Jiaqi, TANG Bo, LIU Ziyi. Distribution network planning for overseas underdeveloped cities based on improved K-means clustering algorithm[J]. Electronic Measurement Technology, 2021, 44(23): 54–60. [Article] (in Chinese) [Google Scholar]

Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.

Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.

Initial download of the metrics may take a while.