Air traffic knowledge management policy

被引:12
|
作者
Iordanova, BN [1 ]
机构
[1] Univ Cambridge, Dept Engn, Cambridge CB2 1PZ, England
关键词
decision support; knowledge management; knowledge acquisition and reasoning; concept learning; agent-based technology;
D O I
10.1016/S0377-2217(02)00151-0
中图分类号
C93 [管理学];
学科分类号
12 ; 1201 ; 1202 ; 120202 ;
摘要
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. (C) 2002 Elsevier Science B.V. All rights reserved.
引用
收藏
页码:83 / 100
页数:18
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