Ir arriba
Información del artículo en conferencia

Aircraft position prediction using neural networks

R. Palacios, A. Doshi, A. Gupta, V. Orlando, B.R. Midwood

Air traffic is increasing world wide at a steady annual rate, and airport congestion is already a major issue for air traffic managers. This paper presents a model based on neural networks to predict the position of aircraft on the airport, during landing or take-off. The same model can also be used to predict the behavior of other vehicles moving on the airport. The predictions help to detect near-collision situations earlier, giving air traffic controllers additional time to take remedial actions. The system uses the list of coordinates produced by the airport radar system, and obtains a prediction of the future position of each object. It is only necessary to store a short history of positions for each object in order to perform the estimation. This estimation has an average error comparable to the size of the airplane when the algorithm is adjusted for 20 second look ahead. The proposed model has been evaluated using data from Chicago O'Hare International Airport, which is the airport with the highest number of movements (from 2001 to 2004).


Palabras clave: Airport Traffic Management, Collision Avoidance, Prediction Models, Neural Networks

TRANSFAC'06: International Congress on Innovative Solutions for the Advancement of the Transport Industry, San Sebastián, Guipúzcoa (España). 04 octubre 2006

Fecha de publicación: octubre 2006.



Cita:
R. Palacios, A. Doshi, A. Gupta, V. Orlando, B.R. Midwood, Aircraft position prediction using neural networks, TRANSFAC'06: International Congress on Innovative Solutions for the Advancement of the Transport Industry. San Sebastián, España, 04-06 Octubre 2006


    Líneas de investigación:
  • *Predicción y Análisis de Datos

IIT-06-059A

pdf Solicitar el artículo completo a los autores



Aviso legal  |  Política de cookies |  Política de Privacidad

© Universidad Pontificia Comillas, Escuela Técnica Superior de Ingeniería - ICAI, Instituto de Investigación Tecnológica

Calle de Santa Cruz de Marcenado, 26 - 28015 Madrid, España - Tel: (+34) 91 5422 800