Noise control and capacity are major concerns at many major airports. Expected growth will exacerbate these problems. Because of high cost and public opposition to new facilities, managers are trying to squeeze what they can out of the existing airports. Unfortunately, requirements for noise control and capacity are seldom in harmony. An appropriate balance between noise abatement and capacity requires considerable analysis and compromise. The overriding concern at many airports is compliance with noise limits mandated by law or regulation. Effects on capacity are secondary as long as they do not interfere with regular operations. However, congestion and delay during peak hours are forcing some airports to reevaluate their noise-abatement strategies. New computer tools are needed by the airport operators and noise-control specialists to analyze the effects of noise-mitigation measures on capacity. The use of artificial intelligence may be one way to use computers to assist in the noise mitigation/capacity analysis. This paper explores the use of expert systems, a subset of artificial intelligence, to accomplish this goal. Rule formulation is derived to permit analysis of the effects of noise-control strategies on capacity. Two attempts to incorporate these rules into a knowledge-based expert system commercial shell are discussed. The first attempt was only partially successful but highlighted the need to carefully review the limitations of any selected shell. The second attempt proved much more successful and showed good agreement with opinions obtained during interviews at selected airports. This work indicates that expert systems may be used to seek an optimum balance between noise mitigation and airport capacity.

Media Info

  • Features: Figures; References; Tables;
  • Pagination: p. 31-41
  • Monograph Title: Public-Sector Aviation Issues: 1987-1988 Graduate Research Award Papers
  • Serial:

Subject/Index Terms

Filing Info

  • Accession Number: 00492081
  • Record Type: Publication
  • ISBN: 0309048133
  • Files: TRIS, TRB
  • Created Date: Mar 31 1990 12:00AM