DocumentCode :
2487035
Title :
Air traffic conflict negotiation and resolution using an onboard multi-agent system
Author :
Rong, Jie ; Geng, Shijian ; Valasek, John ; Ioerger, Thomas R.
Author_Institution :
Dept. of Aerosp. Eng., Texas A&M Univ., College Station, TX, USA
Volume :
2
fYear :
2002
fDate :
2002
Abstract :
Conflict detection and resolution is a critical capacity for realizing free flight. In this paper, a multi-agent system algorithm is proposed to solve the air traffic conflict detection and resolution problem involving multiple aircraft, where each aircraft may be regarded as an intelligent agent. The conflict detection and resolution problem for each agent is solved as a constraint satisfaction problem. A pair wise, argument-based negotiation approach is established for the aircraft to search for a multilaterally acceptable conflict resolution. The proposed algorithm guarantees to lead to an appropriate solution, except for some extreme cases. It also considers real-time constraints such as response time, negotiation deadline, etc. The ground based air traffic controller is always included in this system, and acts as a high-level supervisor and coordinator. It has authority to approve or override any proposal from any aircraft; force an aircraft to accept a proposal; and open or close a negotiation. It may also join the collaboration to represent those aircraft which lack the capacity to negotiate for themselves. However, in such cases it must obey the same negotiation protocol as other aircraft.
Keywords :
aerospace computing; air traffic control; multi-agent systems; protocols; safety; ATC; air traffic conflict negotiation; air traffic conflict resolution; constraint satisfaction problem; ground based air traffic controller; high-level coordinator; high-level supervisor; multi-agent system algorithm; multilaterally acceptable conflict resolution; multiple aircraft; negotiation deadline; negotiation protocol; onboard multi-agent system; pair wise argument-based negotiation approach; real-time constraints; response time; Aerospace control; Aerospace engineering; Aerospace safety; Air safety; Air traffic control; Aircraft; Computer science; Global Positioning System; Multiagent systems; Proposals;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Digital Avionics Systems Conference, 2002. Proceedings. The 21st
Print_ISBN :
0-7803-7367-7
Type :
conf
DOI :
10.1109/DASC.2002.1052919
Filename :
1052919
Link To Document :
بازگشت