Computing, Artificial Intelligence and Information Technology
Air traffic knowledge management policy

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Abstract

A new air traffic knowledge management system is vitally important for the safety and efficiency of future air travel. It can be accomplished by developing a new-generation integrated operational decision support for pilots and controllers. At present the knowledge for decision making is only available when the latter parties share it and negotiate it in real-time. A new policy is required with a new management system and an automated planning of conflict-free air space–time allocation accomplished by an agent-based architecture of a global network of integrated operational decision support systems for airports, airlines and air traffic control. This aims at acquiring and monitoring a flow of air space–time knowledge-and-data structures of conflict-free and optimised flights given the available resources, and ensuring their long-term efficiency by an agent-based planning of flight-plan alterations off-line before signs of air space–time conflicts can develop in real-time. The Agents managing parallel knowledge acquisition and reasoning processes allocate air space–time resources according to the technical capabilities of aircraft in response to flight-plan clearance requests. They ensure decision support for efficient flights and use of air space–time, and conflict-free planning for air traffic management.

Section snippets

Calls for changes

The current system of air traffic management is experiencing problems with coping with the estimated and inevitable increase of air traffic. Airports report with an irritating frequency flights which have been delayed.

As an air travel passenger I have experienced delays of flights caused by the deficiencies of the air traffic management. The most shocking experience was when I was travelling in the spring of 1998. A number of flights were cancelled and more were delayed. As a result a great

The air traffic knowledge

The new generation IODS systems integrate the management of the domain knowledge which at present the air traffic controllers and the airline operators have to share. Fig. 1 presents the integration of knowledge models within the future IODS systems for air traffic management.

The conflict resolution planning [3], [4], [5], [6] in Fig. 1 deals with sets of fight-paths of en-route aircraft already being active in the air and with sequences of requests for clearances of flight-plans of other

The agent-based architecture

The conflict-free planning of air traffic can be accomplished. An agent-based architecture of a future global network of Integrated Operational Decision Support Systems for airlines and airports, and air traffic control and management will do this.

The IODS systems manage the AST resources and technical capabilities of aircraft under current loading. They generate decision support knowledge about maintaining the efficiency of flight-plans and their AST use by collaboration between dynamically

Conclusions

This policy seeks to ensure more efficient future air traffic control and management by providing an automated global planning of air space–time use as a response to an ever growing and urgent need. Air traffic is increasing and pressure on all airports growing. The air traffic industry is looking for new strategies which will safely add to airspace capacity and make the best use of available resources. It is the claim of this paper that the policy here proposed will enable this to be done.

The

Acknowledgements

The author’s work at CUED was supported by the European Organisation for the Safety of Air Navigation, EUROCONTROL Experimental Centre, Bretigny-sur-Orge, France.

This article was written while the author was affiliated to Marconi Research Lab at W. Gates Building, Cambridge CB3 0FD, UK.

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