Graphical Modeling and Simulation for a Multi-Aircraft Collision Avoidance Algorithm based on Collaborative Decisions
| Autor: | Songyang Lao, Yu Wan, Xi Chen |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
0209 industrial biotechnology
Physics and Astronomy (miscellaneous) Process (engineering) General Mathematics collaborative optimization ComputerApplications_COMPUTERSINOTHERSYSTEMS 02 engineering and technology computer.software_genre Traffic collision avoidance system 020901 industrial engineering & automation Software 0502 economics and business Conflict resolution Computer Science (miscellaneous) Collision avoidance system Collision avoidance 050210 logistics & transportation business.industry graphical modeling multi-aircraft conflict lcsh:Mathematics 05 social sciences lcsh:QA1-939 conflict detection and resolution Simulation software collision avoidance system Chemistry (miscellaneous) Pairwise comparison business Algorithm computer |
| Zdroj: | Symmetry, Vol 12, Iss 985, p 985 (2020) Symmetry Volume 12 Issue 6 |
| ISSN: | 2073-8994 |
| Popis: | The Traffic Alert and Collision Avoidance System (TCAS) is recognized worldwide as the last resort for avoiding midair collisions. The existing TCAS can solve pairwise conflict effectively, but cannot manage multi-aircraft conflict satisfactorily, and more seriously, can even trigger domino conflicts in some situation. In response to the increasingly frequent multi-aircraft conflicts, especially three-aircraft conflicts, it is necessary to improve the ability of TCAS. This paper studies the collision avoidance of multi-aircraft scenarios and innovatively proposes a collaborative optimization of a collision avoidance system (CAS) based on the state prediction of the aircraft. In the process, not only invading aircraft but also potential invading aircraft are considered in the plan for an optimal conflict resolution program. From the perspective of mathematics, the collaborative multi-aircraft conflict detection and resolution algorithm is described in detail in this paper. In the end, this paper conducts a comparative experiment to prove the feasibility of the algorithm in three-aircraft scenarios using InCAS software and Gmas simulation software based on graphical modeling of complex systems. The experimental results show that the CAS proposed in this paper can efficiently prevent the occurrence of domino conflicts and guide each aircraft to avoid conflict areas and return to their origin trajectories. In contrast, the existing TCAS will cause the target aircraft to intensify the conflict with the potential invading aircraft when avoiding intruder aircraft. The research greatly remedies the gaps in the area of multi-aircraft collision avoidance and greatly improves the ability and efficiency of TCAS. |
| Databáze: | OpenAIRE |
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