4 Suggestions for Follow-up Research
Based on the results of previous research, it can be seen that scholars at home and
abroad have made useful explorations of smart air traffic management from the perspective of the combination of air traffic management and a new generation of information technology. Cloud computing, big data, artificial intelligence, Internet of
Things, and mobile Internet technologies all have obtained a relatively rich application,
but there are still some shortcomings in the existing research.
In the aspect of combining the research of smart air traffic management with cloud
computing and big data technology, the existing research focuses on solving the
storage optimization problem of large amounts of data, and the business application is a
little limited. As the potential value of the air traffic management data continues to
increase, it is recommended to carry out in-depth research of intelligent data processing
of air traffic management. By studying the technologies of acquisition, processing,
transmission, interaction, and intelligent mining of various air traffic management data,
the capability promotion of the value of air traffic management data to the operation of
air traffic management is further enhanced.
In the aspect of combining the research of smart air traffic management with
artificial intelligence technology, the existing research has proposed to apply it to air
traffic flow management assistant decision-making and flight conflict detection and
detachment assistant decision-making. It also proposed the idea of developing auxiliary
decision-making system. It is suggested that the follow-up study can further expand the
scope of application on this basis and carry out more exploration in intelligent conflict
management, intelligent air traffic flow management [20], intelligent planning management, and intelligent entry and exit sorting, and intelligent airport operation. At the
same time, there have been many runway incursions in recent years. The hidden
problem of information deviation in ground–air interaction needs to be solved urgently.
For the important role of ground–air interaction talks in air traffic management, artificial intelligence technology can be introduced to study the applications of some
important operation process such as voice read-back of air traffic controllers. What is
more worthy of expectation is that, until the application of future artificial intelligence
and other technologies in air traffic management is mature and reliable, we can completely use the robots with the ability of air traffic management, planning, reasoning,
and action to complete the air traffic management business. It will bring about
tremendous changes in the development of the entire air traffic management.
5 Conclusion
The importance of smart air traffic management for the future development of air traffic
management has reached a general consensus. Researches have also been carried out in
this field, and rich research results have been obtained. Combining the research results
in the field of smart air traffic management at home and abroad, the paper combs the
concept and connotation of smart air traffic management and analyzes the application
expansion of smart air traffic management for five most important emerging information technologies (cloud computing, big data, artificial intelligence, Internet of
420
C. Jiang
Based on the results of previous research, it can be seen that scholars at home and
abroad have made useful explorations of smart air traffic management from the perspective of the combination of air traffic management and a new generation of information technology. Cloud computing, big data, artificial intelligence, Internet of
Things, and mobile Internet technologies all have obtained a relatively rich application,
but there are still some shortcomings in the existing research.
In the aspect of combining the research of smart air traffic management with cloud
computing and big data technology, the existing research focuses on solving the
storage optimization problem of large amounts of data, and the business application is a
little limited. As the potential value of the air traffic management data continues to
increase, it is recommended to carry out in-depth research of intelligent data processing
of air traffic management. By studying the technologies of acquisition, processing,
transmission, interaction, and intelligent mining of various air traffic management data,
the capability promotion of the value of air traffic management data to the operation of
air traffic management is further enhanced.
In the aspect of combining the research of smart air traffic management with
artificial intelligence technology, the existing research has proposed to apply it to air
traffic flow management assistant decision-making and flight conflict detection and
detachment assistant decision-making. It also proposed the idea of developing auxiliary
decision-making system. It is suggested that the follow-up study can further expand the
scope of application on this basis and carry out more exploration in intelligent conflict
management, intelligent air traffic flow management [20], intelligent planning management, and intelligent entry and exit sorting, and intelligent airport operation. At the
same time, there have been many runway incursions in recent years. The hidden
problem of information deviation in ground–air interaction needs to be solved urgently.
For the important role of ground–air interaction talks in air traffic management, artificial intelligence technology can be introduced to study the applications of some
important operation process such as voice read-back of air traffic controllers. What is
more worthy of expectation is that, until the application of future artificial intelligence
and other technologies in air traffic management is mature and reliable, we can completely use the robots with the ability of air traffic management, planning, reasoning,
and action to complete the air traffic management business. It will bring about
tremendous changes in the development of the entire air traffic management.
5 Conclusion
The importance of smart air traffic management for the future development of air traffic
management has reached a general consensus. Researches have also been carried out in
this field, and rich research results have been obtained. Combining the research results
in the field of smart air traffic management at home and abroad, the paper combs the
concept and connotation of smart air traffic management and analyzes the application
expansion of smart air traffic management for five most important emerging information technologies (cloud computing, big data, artificial intelligence, Internet of
420
C. Jiang