UAV Fleet Routing Under Weather and Customer Orders Uncertainty Parameters

The problem considered in this paper concerns the proactive mission planning of a UAV fleet, taking into account simultaneous changes in weather conditions and delivery dates. This problem belongs to the VRP class of fuzzy weather forecast and fuzzy delivery time window constraints where UAV delivery routes must be resistant to simultaneous changes in weather conditions and delivery dates. The applied methodology, based on the declarative modeling paradigm, allows the use of commercially available constraint programming packages and considers new cases extended by demand and travel time constraints. To illustrate the possibilities of practical use of the proposed approach, multiple simulation experiments of potential scenarios of planned missions have been carried out. The obtained results indicate the proposed approach can be used for planning UAV fleet mission sizes occurring in practice while being robust to selected environmental disruptions in online mode.