Conflict detection and resolution algorithm for en-route conflicts in dense non-segregated aerial traffic

Authors:
José A. Cobano;Roberto Conde;David Alejo;Antidio Viguria;Anibal Ollero
Affiliations:
University of Seville, Seville, Spain;University of Seville, Seville, Spain;University of Seville, Seville, Spain;Center for Advanced Aerospace Technologies (CATEC), Rinconada, Spain;University of Seville, Seville, Spain and Center for Advanced Aerospace Technologies (CATEC), Rinconada, Spain
Venue:
Proceedings of the 1st International Conference on Application and Theory of Automation in Command and Control Systems
Year:
2011

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Abstract

This paper presents a Conflict Detection and Resolution (CDR) method for dense traffic in Air Traffic Management (ATM). Depending on the quality of solution the method can be applied in Medium-Term Conflict Detection and Resolution (MTCDR) and Short-Term Conflict Detection and Resolution (STCDR). The proposed method detects conflicts using an algorithm based on axis-aligned minimum bounding box and the resolution algorithm is based on evolutionary techniques. The CDR method solves the conflicts in a common airspace by mean of the cooperation among multiple aerial vehicles. A very fast first solution is computed and then the algorithm improves continuously the result. Thus, it can be adapted to different applications that require different response times. The method has been validated with experimental results in a scenario with multiple aerial vehicles (quadrotors) in a non-segregated or common airspace. The main advantage is its scalability. The experiments have been carried out in the multivehicle aerial testbed of the Center for Advanced Aerospace Technologies (CATEC).