Title :
Intent-Based Probabilistic Conflict Detection for the Next Generation Air Transportation System
Author :
Hwang, Inseok ; Seah, Chze Eng
Author_Institution :
Sch. of Aeronaut. & Astronaut., Purdue Univ., West Lafayette, IN
Abstract :
The Next Generation Air Transportation System (NextGen) is a proposed transformation of air traffic operations to meet future growth. Under the NextGen, aircraft are expected to perform air traffic management tasks such as flight plan changes, trajectory prediction, and conflict detection. We propose a trajectory prediction algorithm for the NextGen that utilizes an aircraft dynamics model to account for changes in aircraft flight modes. This model is useful for short-term trajectory prediction and is able to account for the correlation in prediction errors due to aircraft maneuvers. We also utilize verified or inferred intents of aircraft to improve the trajectory prediction in the long term. We then propose a computationally efficient analytical algorithm to compute the conflict probability between any pair of maneuvering or nonmaneuvering aircraft. We demonstrate the computational efficiency and the accuracy of the proposed algorithm through various illustrative air traffic scenarios.
Keywords :
aerospace computing; aerospace safety; air traffic control; aircraft; electronic data interchange; probability; vehicle dynamics; air traffic accidents; air traffic management tasks; aircraft dynamics model; aircraft maneuvers; computationally efficient analytical algorithm; conflict probability; data exchange; intent-based probabilistic conflict detection; next generation air transportation system; trajectory prediction; Air traffic control; Air transportation; Aircraft; Inference algorithms; Prediction methods; Predictive models; Stochastic processes; Traffic control; Trajectory; Uncertainty; Air traffic control; conflict detection; intent inference; trajectory prediction;
Journal_Title :
Proceedings of the IEEE
DOI :
10.1109/JPROC.2008.2006138