The demand for drone services is increasing at a very fast pace, holding enormous promise in terms of business opportunities, economic growth with the development of a multitude of new and innovative services, as well as societal benefits. Autonomous aerial vehicles rely on new technologies that can ensure a stable flight in a controlled volume but it lacks cooperative mechanisms in unmanned traffic management airspace areas. In this paper it is presented a new framework to support a negotiated conflict resolution mechanism in which aircraft compete to preserve their preferred trajectories while at the same time cooperate to maintain safety factor levels. An ontology has been designed to support an ecosystem vision to enhance a win-To-win resolution under an overriding resolution control in case a negotiation deadlock is predicted.
|Original language||American English|
|Journal||2018 International Conference on Advances in Big Data, Computing and Data Communication Systems, icABCD 2018|
|Publication status||Published - 13 Sep 2018|
- machine-To-machine ontology
- multi agent system
- negotiation mechanism