Aircraft conflict prediction in the presence of a spatially correlated wind field

Authors:
Jianghai Hu;M. Prandini;S. Sastry
Affiliations:
Purdue Univ., West Lafayette, IN, USA;-;-
Venue:
IEEE Transactions on Intelligent Transportation Systems
Year:
2005

Citing 0
Cited 9

Probabilistic reachability and safety for controlled discrete time stochastic hybrid systems

Automatica (Journal of IFAC)
Model-based probabilistic collision detection in autonomous driving

IEEE Transactions on Intelligent Transportation Systems
A probabilistic methodology for predicting injuries to human operators in automated production lines

ETFA'09 Proceedings of the 14th IEEE international conference on Emerging technologies & factory automation
Verification of discrete time stochastic hybrid systems: A stochastic reach-avoid decision problem

Automatica (Journal of IFAC)
On the use of Q2abstractions to lower the computational cost of derivation of conflict resolution advisories in air traffic control

IEEE Transactions on Intelligent Transportation Systems
Reachability analysis for controlled discrete time stochastic hybrid systems

HSCC'06 Proceedings of the 9th international conference on Hybrid Systems: computation and control
Computational Tools for the Safety Control of a Class of Piecewise Continuous Systems with Imperfect Information on a Partial Order

SIAM Journal on Control and Optimization
The Velocity Assignment Problem for Conflict Resolution with Multiple Aerial Vehicles Sharing Airspace

Journal of Intelligent and Robotic Systems
A stochastic games framework for verification and control of discrete time stochastic hybrid systems

Automatica (Journal of IFAC)

Quantified Score

Hi-index	0.01

Visualization

Abstract

In this paper, the problem of automated aircraft conflict prediction is studied for two-aircraft midair encounters. A model is introduced to predict the aircraft positions along some look-ahead time horizon, during which each aircraft is trying to follow a prescribed flight plan despite the presence of additive wind perturbations to its velocity. A spatial correlation structure is assumed for the wind perturbations such that the closer the two aircraft, the stronger the correlation between the perturbations to their velocities. Using this model, a method is introduced to evaluate the criticality of the encounter situation by estimating the probability of conflict, namely, the probability that the two aircraft come closer than a minimum allowed distance at some time instant during the look-ahead time horizon. The proposed method is based on the introduction of a Markov chain approximation of the stochastic processes modeling the aircraft motions. Several generalizations of the proposed approach are also discussed.