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Miguel-Ángel Fas-Millán, Andreas Pick, Daniel González del Río, Alejandro Paniagua Tineo and Rubén García García
Within the framework of the European Union?s Horizon 2020 research and innovation program, one of the main goals of the Labyrinth project was to develop and test the Conflict Management services of a U-space-based Unmanned Traffic Management (UTM) system...
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Chenglong Li, Wenyong Gu, Yuan Zheng, Longyang Huang and Xuejun Zhang
Air logistics transportation has become one of the most promising markets for the civil drone industry. However, the large flow, high density, and complex environmental characteristics of urban scenes make tactical conflict resolution very challenging. E...
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Dong Sui, Chenyu Ma and Chunjie Wei
To assist air traffic controllers (ATCOs) in resolving tactical conflicts, this paper proposes a conflict detection and resolution mechanism for handling continuous traffic flow by adopting finite discrete actions to resolve conflicts. The tactical confl...
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Alevizos Bastas and George A. Vouros
With the aim to enhance automation in conflict detection and resolution (CD&R) tasks in the air traffic management (ATM) domain, this article studies the use of artificial intelligence and machine learning (AI/ML) methods to learn air traffic control...
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Marta Ribeiro, Joost Ellerbroek and Jacco Hoekstra
Current investigations into urban aerial mobility, as well as the continuing growth of global air transportation, have renewed interest in conflict detection and resolution (CD&R) methods. The use of drones for applications such as package delivery, ...
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Marta Ribeiro, Joost Ellerbroek and Jacco Hoekstra
Current investigations into urban aerial mobility, as well as the continuing growth of global air transportation, have renewed interest in Conflict Detection and Resolution (CD&R) methods. With the new applications of drones, and the implications of ...
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