Natural disaster management with UAVs and emergency delivery vehicles

Sudden natural disasters such as wildfires, earthquakes, hurricanes require efficient management techniques to reduce the losses. Some of these disasters trigger new ones that may deepen the damage or widen the locations prone to the disaster. For example, a major earthquake may trigger a number of earthquakes which may lead to more disaster locations. A wildfire may change its direction of spread. In this project, we will call this type of disaster “an invasive disaster”, i.e. the disaster locations and the loss rate at each disaster location may change as time progresses. Our aim is to develop a model to optimally direct the emergency delivery vehicle to the disaster locations detected by the UAVs.  The model will be able to handle the dynamic nature of the problem. Then, we will simulate the model on a realistic data set to determine its success.