Applying Neural Networks and Geographical Information Systems to Airport Noise Evaluation

The assessment of aircraft noise is becoming an increasingly important task in ensuring sustainable airport development. Aircraft noise is influenced by many complex factors and traditional laboratory models are not sufficient to assess the exposure to noisy flights of specific local communities in proximity to an airport. In this paper neural network and fuzzy set methods have been integrated with Geographical Information Systems to provide an alternative method to evaluate airport noise.

• Type: Conference
• Year: 2005
• Where: ISNN
• Authors: Yingjie Yang, David Gillingwater, Chris J. Hinde
• Keywords: Aircraft Noise, Airport Noise, ISNN 2005, Sustainable Airport Development