Experiences in Anomaly Prediction Models for Aircraft Effective Flight Path Monitoring Through Trajectory Based Operations
2022-26-1251
05/26/2022
- Event
- Content
- As air traffic demand increases, many challenges surface in terminal areas pertaining to air traffic volume, hazardous meteorological conditions, adjacent airports, and special activity airspace in proximity whose procedures utilize the same airspace. There is a hence significant interest in air traffic management community to leverage opportunities to optimize throughput, improve flexibility, enable fuel-efficient climb and descent profiles, and increase capacity. These are in high-priority initiatives via trajectory based operations and change from prescribed to performance based operations. An important step in the operation of trajectory based operations or performance based monitoring, merging, and sequencing is that of assessing the impact of uncertainty and precision of aircraft trajectories. Aircraft onboard lateral and vertical trajectories generation systems receive sensors data and other systems data for computations such as optimal speed, Fuel burn, Time-to-go, etc. to provide guidance and prediction to Pilots. Any anomaly and/or perturbations within the sensors and/or systems data leads to undesirable sub-optimal scenarios. In this paper, we discuss our experiences in developing anomaly prediction models towards aiding efficient operations and enhancing air-space throughput.
- Citation
- Chaubey, R., and Raman, R., "Experiences in Anomaly Prediction Models for Aircraft Effective Flight Path Monitoring Through Trajectory Based Operations," SAE Technical Paper 2022-26-1251, 2022, .