Abstract:Air transport plays an important role in promoting the world economy and social development. The statistics of international civil aviation organization show that global air traffic is approximately doubled every fifteen years, and the existing air traffic navigation system is close to saturation. The existing air traffic management (ATM) systems automatically acquire and process air traffic control information for air traffic controller, through surveillance data fusion, flight data processing, meteorology and aeronautical information processing and safety nets processing. However, the limited decision-making support ability leads to the low intelligent degree of ATM system, which can't meet the need of the future development of ATM. In order to adapt to the rapid development of aviation industry in the future, some countries and organizations are committed to carrying out new technologies to solve the problems of air traffic safety, airspace congestion and flight delays. In 2004, the EU proposed the "Single European Sky ATM Research(SESAR)" program and proposed tore-plan European airspace to meet air traffic demand and improve the efficiency of ATM system. The key technologies of the program include four key areas of ATM:efficient airport operations, advanced air traffic services, optimized air traffic network services and reliable ATC infrastructure. In 2005, the United States proposed the next generation air transportation system(NEXTGEN), including ADS-B, data communication, en route automation modernization, terminal automation modernization and replacement, NAS voice system and system wide information management. In 2012, ICAO launched the aviation system block upgrade plan (ASBU). The ASBU involved four aviation performance improvement areas, including airport operations, globally interoperable systems and data, optimum capacity and flexible flights and efficient flight path. Each area consists of multiple threads and distributed in four blocks according to the implementation stage. CAAC is also implementing or planning a large number of ASBU modules to cope with the rapid development of Chinese civil aviation. The existing ATM system and its future planning mainly focus on the infrastructure construction, without enough intelligent applications. In recent years, with the support of deep learning, high performance computing and big data, artificial intelligence technology has been rapidly used in various fields. Especially, technologies of computer vision, speech recognition and natural language processing have made breakthrough and rapid industrialization. Artificial intelligence, represented by deep learning, emphasizes that judgment and decision-making based on a large number of prior knowledge, which is consistent with the decision-making process of ATM. Therefore, artificial intelligence technology can promote the development of air traffic control key technologies, improve safety and the efficiency of air traffic control and reduce the workload of air traffic controller. The great benefit of the rapid development of artificial intelligence makes the intellectualized ATM a necessity. In this paper, the concept of intellectualized ATM and the overall framework of intellectualized ATM system were presented. The overall framework of intellectualized ATM includes the perception layer, network layer, platform layer, application layer and visual layer. All kinds of communication, navigation, surveillance, weather, wireless, video capture, radio frequency identification and other facilities of the perception layer offer the infrastructures for ATM. The network layer transmits information by using special line network, satellite communication network, Internet, mobile network and so on. The platform layer achieves information storage, sharing and mining by using of SWIM, cloud computing, intelligent big data mining. Application layer studies the application of artificial intelligence technology in air traffic control, airspace management, air traffic flow management, flight service, general aviation and unmanned aerial vehicle. The visual layer provides efficient and intelligent interaction through the portal, virtual visualization, intelligent UI and mobile applications. The research direction of intellectualized ATM includes intelligent ATM data processing, intelligent decision-making, air traffic control speech recognition and air traffic control robot. The intelligent ATM data processing involves various kinds of ATM data acquisition, processing, transmission, interaction and intelligent mining. Intelligent decision-making focuses on intelligent conflict management, intelligent air traffic flow management, intelligent planning and management, intelligent AMAN and DMAN, intelligent airport operation, etc. In view of the important role of ground-to-air communication in air traffic control, the intelligent simulation pilot and air traffic control safety monitoring based on automatic speech recognition should be studied. The intellectualized ATM system has the capabilities of air traffic control perception, planning, reasoning and action based on artificial intelligence. Thus, the overall framework and key technologies provide the theoretical basis and technical support for the development of intellectualized ATM system.