LPIS Home Page
Google Search

Title: A collision detection and resolution multi agent approach using utility functions
Author(s): G. Valkanas, P. Natsiavas, N. Bassiliades.
Availability: Click here to download the PDF (Acrobat Reader) file (5 pages).
Keywords: Collision detection and resolution, Multi-Agent systems, Utility functions.
Appeared in: 4th Balkan Conference in Informatics (BCI-09), P. Kefalas, D. Stamatis, C. Douligeris (Ed.), IEEE Computer Society, pp. 3-7, Thessaloniki, Greece, September 17th-19th 2009, 2009.
Abstract: Free Flight is the concept introduced by NASA and FAA in order to change the aviation of the 21st century, allowing for pilots to choose dynamically (on the fly) their nominal paths. Despite its many advantages as opposed to todays situation, the free flight concept raises many new issues that need to be addressed before being applicable, with the main interest focusing on conflict detection and resolution (CD&R), in order to ensure the safety of the aircrafts. In this paper we present a decentralized CD&R approach using agents, as well as a general multi-agent framework where not only the proposed but new agent-based approaches may be implemented and tested.
See also :

        This paper has been cited by the following:

1 Emami, H., Derakhshan, F., "A new method for conflict detection and resolution in air traffic management", (2012) AAAI Workshop - Technical Report, WS-12-13, pp. 37-40.
2 Emami, H.; Derakhshan, F.; "An overview on conflict detection and resolution methods in air traffic management using multi agent systems," Artificial Intelligence and Signal Processing (AISP), 2012 16th CSI International Symposium on , vol., no., pp.293-298, 2-3 May 2012.
3 Hojjat Emami, Kamyar Narimanifar, A Comparison Framework for Conflict Detection and Resolution Multi Agent Modeling Methods in Air Traffic Management, International Journal of Information Technology, Control and Automation (IJITCA) Vol.2, No.4, October 2012, pp. 51-64.
4 Md. Ivarahim Sakil, Md. Imran, The Categorization and Comparing Different Multi-Agent Models for Conflict Detection and Resolution in the Air Traffic Management, International Journal of Application or Innovation in Engineering & Management (IJAIEM), Vol. 1, No. 1, September 2012, pp. 13-22.
5 Hojjat Emami and Farnaz Derakhshan, "Conflict Detection And Resolution In Air Traffic Management Based On Graph Coloring Problem Using Imperialist Competitive Algorithm", International Journal of Information Technology, Control and Automation (IJITCA) Vol.2, No.2, April 2012, DOI:10.5121/ijitca.2012.2203 27.
6 Hojjat Emami, Shapoor Emami, A Multi-Agent Approach to Reduce Costs of the Conflict Resolution Process in the Free Flight Method, International Journal of Computer Science and Business Informatics, Vol. 1, No. 1. May 2013, pp. 1-12.
7 Álvaro Câmara, Daniel Castro Silva, Eugénio Oliveira, Pedro Henriques Abreu. "Comparing Centralized and Decentralized Multi-Agent Approaches to Air Traffic Control", in Proceedings of the 28th European Simulation and Modelling Conference (ESM'2014), October 22-24 2014, Porto, Portugal, Pages 189-193.
8 Hojjat Emami, Farnaz Derakhshan, Multi-Agent Based Solution For Free Flight Conflict Detection And Resolution Using Particle Swarm Optimization Algorithm, U.P.B. Scientific Bulletin, Series C - Electrical Engineering and Computer Science, Vol. 76, Iss. 3, 2014, pp 49-64.