Things, and mobile Internet). And the development trend and priority of future research
on smart air traffic management are discussed in view of the shortcomings of the
existing research, which provides a reference for the further research of the subsequent
smart air traffic management.
References
1. Changmiao D, Shijia X (2018) The development of smart ATC engineering system based on
WeChat Mini Program. Civ Aviat Manag 335(09):41–44
2. Wenxian S, Xinping Z (2013) Smart air traffic management system and its application.
J Nanjing Univ Aeronaut Astronaut (Soc Sci) 15(3):51–55
3. Jidong B (2014) Smart air traffic management system and its application. Sci Technol Inf 12
(20):22
4. Tak-Kuen John K, Yi M, George JP et al (1997) Smart ATMS: a simulator for air traffic
management systems. In: Proceedings of the 1997 winter simulation conference
5. Hongyu Y, Bo Y, Xiping W et al (2018) Research and prospect of intellectualized air traffic
management technology. Adv Eng Sci 50(04):16–25
6. Yun L (2014) Application prospect of cloud computing in data processing of air traffic
management. Comput Knowl Technol 10(12):2704–2706
7. Yunfei Y, Xiaojian C, Weiqing C et al (2015) Research on infrastructure of civil aviation
collaborative decision making system based on cloud computing. Softw Ind Eng 4:36–41
8. Yuan S (2018) Research on architecture of ATM information system and verification of air
traffic flow management system based on cloud computing technology. Telecom World 341
(10):46–47
9. Chen Z, Fan L (2017) Research of the big data applications of the American ATM. Innov Sci
Technol 208(6):94–96
10. Jingwei T, Weijun P, Zhilin L et al (2018) Research on the construction of air traffic
management big data based on information fusion. Innov Sci Technol 18(3):65–69
11. Ziqi L (2018) Talking about the application of big data in the safety management of ATM.
PC Fan 2018(18):57
12. Yongjie Y, Hui D (2019) Big data value embodiment of air traffic management in business
operation. Command Inf Syst Technol 10(01):7–12
13. Xiaohong L, Cunru B, Jiong W et al (2007) Application of artificial intelligence technique in
air traffic management. Air Traffic Manag 12:25–27
14. Yabin C (2013) Application of artificial intelligence technique in ATM. Silicon Valley 2013
(7):118
15. Tiansheng F (2018) Practice of artificial intelligence in ATM (ADSB). Sci Technol Innov
2018(11):79–80
16. Xinping Z (2013) A novel air traffic management system based on the Internet of Things.
J Transp Inf Saf 31(5):145–149
17. Yudong W (2014) Exploration of new air traffic management system based on Internet of
Things. Sci Technol Vis 2014(31):73
18. Rui W (2017) Smart ATM system and its applications. Technol Innov Appl 2017(18):270
19. Yuanwei L (2017) Smart ATM system and its applications. Dual Use Technol Prod 6(2):15
20. Ping C (2016) Global air traffic management (ATM) operational concept and its
enlightenment. Command Inf Syst Technol 7(6):13–16
Recent Advances for Smart Air Traffic Management: An Overview
421
on smart air traffic management are discussed in view of the shortcomings of the
existing research, which provides a reference for the further research of the subsequent
smart air traffic management.
References
1. Changmiao D, Shijia X (2018) The development of smart ATC engineering system based on
WeChat Mini Program. Civ Aviat Manag 335(09):41–44
2. Wenxian S, Xinping Z (2013) Smart air traffic management system and its application.
J Nanjing Univ Aeronaut Astronaut (Soc Sci) 15(3):51–55
3. Jidong B (2014) Smart air traffic management system and its application. Sci Technol Inf 12
(20):22
4. Tak-Kuen John K, Yi M, George JP et al (1997) Smart ATMS: a simulator for air traffic
management systems. In: Proceedings of the 1997 winter simulation conference
5. Hongyu Y, Bo Y, Xiping W et al (2018) Research and prospect of intellectualized air traffic
management technology. Adv Eng Sci 50(04):16–25
6. Yun L (2014) Application prospect of cloud computing in data processing of air traffic
management. Comput Knowl Technol 10(12):2704–2706
7. Yunfei Y, Xiaojian C, Weiqing C et al (2015) Research on infrastructure of civil aviation
collaborative decision making system based on cloud computing. Softw Ind Eng 4:36–41
8. Yuan S (2018) Research on architecture of ATM information system and verification of air
traffic flow management system based on cloud computing technology. Telecom World 341
(10):46–47
9. Chen Z, Fan L (2017) Research of the big data applications of the American ATM. Innov Sci
Technol 208(6):94–96
10. Jingwei T, Weijun P, Zhilin L et al (2018) Research on the construction of air traffic
management big data based on information fusion. Innov Sci Technol 18(3):65–69
11. Ziqi L (2018) Talking about the application of big data in the safety management of ATM.
PC Fan 2018(18):57
12. Yongjie Y, Hui D (2019) Big data value embodiment of air traffic management in business
operation. Command Inf Syst Technol 10(01):7–12
13. Xiaohong L, Cunru B, Jiong W et al (2007) Application of artificial intelligence technique in
air traffic management. Air Traffic Manag 12:25–27
14. Yabin C (2013) Application of artificial intelligence technique in ATM. Silicon Valley 2013
(7):118
15. Tiansheng F (2018) Practice of artificial intelligence in ATM (ADSB). Sci Technol Innov
2018(11):79–80
16. Xinping Z (2013) A novel air traffic management system based on the Internet of Things.
J Transp Inf Saf 31(5):145–149
17. Yudong W (2014) Exploration of new air traffic management system based on Internet of
Things. Sci Technol Vis 2014(31):73
18. Rui W (2017) Smart ATM system and its applications. Technol Innov Appl 2017(18):270
19. Yuanwei L (2017) Smart ATM system and its applications. Dual Use Technol Prod 6(2):15
20. Ping C (2016) Global air traffic management (ATM) operational concept and its
enlightenment. Command Inf Syst Technol 7(6):13–16
Recent Advances for Smart Air Traffic Management: An Overview
421