computing platform of system, which proved the feasibility and advancement of using
cloud computing in air traffic management information systems.
Yuan [8] summarized the application experience of using cloud computing technology in the construction of air traffic management information systems at home and
abroad. Analyses in the new generation of air traffic management information systems
architecture based on cloud computing technology, air traffic management cloud
computing verification project, air traffic flow management system based on cloud
computing were focused on. And by setting up an air traffic flow management prototype system based on cloud computing technology, the feasibility of constructing an
air traffic management system in the form of cloud was verified.
3.2 Big Data
With the development of information technology, big data technology has been widely
used in the field of air traffic management as a trend of the current information industry.
Chen and Fan [9] have combed the research progress of big data using the USA’s air
traffic management which has more developed civil aviation industry. Currently, the
USA has achieved certain results in the System Wide Information Management
(SWIM), the FAA operation and performance data system, the US National Flight Data
Center, the enhanced traffic management system (ETMS), and other aspects. Overall, a
big data application management model in air traffic management for statistical analysis, collaborative operation, and planning decision has been formed. The storage and
hierarchical management of related data are becoming more and more standardized,
and the secondary development and efficient use of data have become a hierarchy that
is worth learning from.
Jingwei et al. [10] discussed the construction path of air traffic management big
data based on information fusion. They proposed the basic idea of constructing China’s
air traffic management big data to build a national core database, establish an interactive interaction mechanism, and provide analytical and evaluation data products, by
fully integrating and mining the data to optimize China’s air traffic management
information systems.
Ziqi [11] believed that the current application of big data in the field of air traffic
safety management is still in its infancy, but it has achieved certain applications and
breakthroughs in promoting the transformation of safety management mode, safety
hazard investigation, operational risk warning, and unsafe incident investigation and
case study.
Yongjie and Hui [12] integrated the previous research results and proposed a fourlayer architecture of air traffic management big data based on the data, technology,
platform, and application from the perspective of the application of the air traffic
management network information system. Meanwhile, in terms of coordination,
security, efficiency, and management, the application direction and development trend
of air traffic management big data were given.
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C. Jiang
cloud computing in air traffic management information systems.
Yuan [8] summarized the application experience of using cloud computing technology in the construction of air traffic management information systems at home and
abroad. Analyses in the new generation of air traffic management information systems
architecture based on cloud computing technology, air traffic management cloud
computing verification project, air traffic flow management system based on cloud
computing were focused on. And by setting up an air traffic flow management prototype system based on cloud computing technology, the feasibility of constructing an
air traffic management system in the form of cloud was verified.
3.2 Big Data
With the development of information technology, big data technology has been widely
used in the field of air traffic management as a trend of the current information industry.
Chen and Fan [9] have combed the research progress of big data using the USA’s air
traffic management which has more developed civil aviation industry. Currently, the
USA has achieved certain results in the System Wide Information Management
(SWIM), the FAA operation and performance data system, the US National Flight Data
Center, the enhanced traffic management system (ETMS), and other aspects. Overall, a
big data application management model in air traffic management for statistical analysis, collaborative operation, and planning decision has been formed. The storage and
hierarchical management of related data are becoming more and more standardized,
and the secondary development and efficient use of data have become a hierarchy that
is worth learning from.
Jingwei et al. [10] discussed the construction path of air traffic management big
data based on information fusion. They proposed the basic idea of constructing China’s
air traffic management big data to build a national core database, establish an interactive interaction mechanism, and provide analytical and evaluation data products, by
fully integrating and mining the data to optimize China’s air traffic management
information systems.
Ziqi [11] believed that the current application of big data in the field of air traffic
safety management is still in its infancy, but it has achieved certain applications and
breakthroughs in promoting the transformation of safety management mode, safety
hazard investigation, operational risk warning, and unsafe incident investigation and
case study.
Yongjie and Hui [12] integrated the previous research results and proposed a fourlayer architecture of air traffic management big data based on the data, technology,
platform, and application from the perspective of the application of the air traffic
management network information system. Meanwhile, in terms of coordination,
security, efficiency, and management, the application direction and development trend
of air traffic management big data were given.
418
C. Jiang