A Terminal Departure Passenger Traffic Prediction Method Based on the RBF Neural Network

In order to solve the problem of terminal resources waste and improve the resource utilization efficiency of airport terminals, this paper proposes a prediction method based on the RBF neural network to predict future terminal departure passenger traffic at the next period. Data from Harbin Taiping International Airport are used to confirm the accuracy and applicability of this method in the field of terminal departure passenger traffic prediction.


  • English

Media Info

  • Media Type: Web
  • Features: References;
  • Pagination: pp 31-38
  • Monograph Title: CICTP 2014: Safe, Smart, and Sustainable Multimodal Transportation Systems

Subject/Index Terms

Filing Info

  • Accession Number: 01536104
  • Record Type: Publication
  • ISBN: 9780784413623
  • Files: TRIS, ASCE
  • Created Date: Jul 2 2014 3:02PM