A Fuzzy Decision Tree Model for Airport Terminal Departure Passenger Traffic Forecasting

The airport terminal departure passenger traffic forecast is the key premise for the airport passenger traffic management system to control and guide passenger traffic flow. However, because the flow is affected by many factors, it is strongly random and nonlinear; so, it can be difficult to forecast traffic accurately. The fuzzy decision tree approach is developed based on the decision tree method combined with the fuzzy mathematics theory. This approach is mainly used in the field of decision making. This paper applies the thinking of decision to forecast and applies the improved fuzzy decision tree method to terminal departure passenger traffic forecast. The case analysis indicates that a more concise and accurate forecast can be achieved using the fuzzy decision tree approach.

Language

  • English

Media Info

  • Media Type: Web
  • Features: References;
  • Pagination: pp 11-17
  • Monograph Title: CICTP 2014: Safe, Smart, and Sustainable Multimodal Transportation Systems

Subject/Index Terms

Filing Info

  • Accession Number: 01536156
  • Record Type: Publication
  • ISBN: 9780784413623
  • Files: TRIS, ASCE
  • Created Date: Jul 2 2014 3:02PM