3.3 Artificial Intelligence
Xiaohong et al. [13] proposed the composition and implementation method of the
artificial intelligence assistant decision-making system for air traffic management from
the reality. The system aimed at solving different problems of air traffic management at
all levels based on the prediction of flight conflict, the resolution of flight conflict, and
the intelligent management of flight flow so as to finally realize the full application of
artificial intelligence in air traffic management.
Yabin [14] believed that artificial intelligence technology can be applied to air
traffic flow management assistant decision-making and flight conflict detection and
detachment assistant decision-making, thus forming an artificial intelligence assistant
system for air traffic management.
Tiansheng [15] believed that Automatic Dependent Surveillance Broadcast (ADSB) can be regarded as a special artificial intelligence technology. Compared with other
technologies, ADS-B provides a more accurate supervision method, enabling air traffic
controllers can control air traffic management information systems as a whole and
enhance the safety of air traffic, effectively solve congestion and re-push problems,
improve the air traffic operating environment, and ensure flight safety.
3.4 Internet of Things (IoT)
Xinping [16] proposed a new air traffic management system based on IoT technology.
The core of the project is to use the Internet of Things to improve the perception ability
of air traffic in a more efficient and intelligent way and to enhance the interaction ability
between air traffic controllers and pilots through various data links, thereby improving
the level of air traffic management.
Yudong [17] analyzed the application prospects of using IoT technology in air
traffic management collaborative decision-making system, airborne interval assistant
system, and flight queue management.
Rui [18] and Yuanwei [19] proposed that the two key technologies of smart air
traffic management are radio frequency identification (RFID) technology and wireless
sensors network, by use of the two key technologies to realize surface operations,
airspace operations, collaborative air traffic flow, runway safety, and equipment status
management.
3.5 Mobile Internet
As a representative application software of the era of mobile Internet, WeChat has
attracted applications from all walks of life since its introduction of Mini Program, due
to its high feasibility of technology and application. Duan and Xie [1] developed the
“Smart Management of Air Traffic Management Projects” system with the help of
WeChat Mini Program tool. The system can realize the effects of mobilization,
informationization, intelligence, velocity, and visualization of the project management
system of East China Air Traffic Management Bureau of CAAC. It can be said that the
use of mobile Internet has improved the intelligent level of air traffic management.
Recent Advances for Smart Air Traffic Management: An Overview
419
Xiaohong et al. [13] proposed the composition and implementation method of the
artificial intelligence assistant decision-making system for air traffic management from
the reality. The system aimed at solving different problems of air traffic management at
all levels based on the prediction of flight conflict, the resolution of flight conflict, and
the intelligent management of flight flow so as to finally realize the full application of
artificial intelligence in air traffic management.
Yabin [14] believed that artificial intelligence technology can be applied to air
traffic flow management assistant decision-making and flight conflict detection and
detachment assistant decision-making, thus forming an artificial intelligence assistant
system for air traffic management.
Tiansheng [15] believed that Automatic Dependent Surveillance Broadcast (ADSB) can be regarded as a special artificial intelligence technology. Compared with other
technologies, ADS-B provides a more accurate supervision method, enabling air traffic
controllers can control air traffic management information systems as a whole and
enhance the safety of air traffic, effectively solve congestion and re-push problems,
improve the air traffic operating environment, and ensure flight safety.
3.4 Internet of Things (IoT)
Xinping [16] proposed a new air traffic management system based on IoT technology.
The core of the project is to use the Internet of Things to improve the perception ability
of air traffic in a more efficient and intelligent way and to enhance the interaction ability
between air traffic controllers and pilots through various data links, thereby improving
the level of air traffic management.
Yudong [17] analyzed the application prospects of using IoT technology in air
traffic management collaborative decision-making system, airborne interval assistant
system, and flight queue management.
Rui [18] and Yuanwei [19] proposed that the two key technologies of smart air
traffic management are radio frequency identification (RFID) technology and wireless
sensors network, by use of the two key technologies to realize surface operations,
airspace operations, collaborative air traffic flow, runway safety, and equipment status
management.
3.5 Mobile Internet
As a representative application software of the era of mobile Internet, WeChat has
attracted applications from all walks of life since its introduction of Mini Program, due
to its high feasibility of technology and application. Duan and Xie [1] developed the
“Smart Management of Air Traffic Management Projects” system with the help of
WeChat Mini Program tool. The system can realize the effects of mobilization,
informationization, intelligence, velocity, and visualization of the project management
system of East China Air Traffic Management Bureau of CAAC. It can be said that the
use of mobile Internet has improved the intelligent level of air traffic management.
Recent Advances for Smart Air Traffic Management: An Overview
419