Loss of thrust (LOT) emergencies can be caused by various reasons -- for example, fuel exhaustion in the case of Tuninter Flight-1153, and birds strike in the case of US Airways Flight 1549. LOT scenarios are dangerous because the pilots have a very short time to decide on a plan of action for landing the aircraft safely. There are a lot of factors which need to be considered such as altitude of emergency, aircraft surface damage, wind conditions and distance to nearby runways. Therefore, there is a need for systems that can help pilots make decisions expediously by reducing the associated computational burden. The main goal of our project is to develop dynamic data-driven decision support systems to aid pilots in partial or total LOT situations. Introduction of automation in the decision making phase can greatly reduce the response time of pilots, giving them a better chance at landing their aircraft safely.
- Developing dynamic data-driven models that can account for the actual performance of an aircraft during an emergency.
- Developing trajectory generation algorithms that can generate feasible trajectories.
- Ranking trajectories by safety, for enabling pilots to make an educated choice quickly.
- Modelling the effect of wind on trajectories and generating wind-aware trajectories.
- Developing terrain aware algorithms that can detect and avoid obstacles without sacrificing computational speed.
- Uncertainty quantification in the trajectory planning process (uncertainty in wind speed, glide ratio, and the ability of the pilot to accurately follow the trajectories).
- Aircraft Trajectory Generation (No Wind)
- Wind Aware Aircraft Trajectory Generation
- IOS application for Aircraft Trajectory Generation (No Wind)