Forecasting Transportation Tonnage by an Adaptive Smoothing Model

Abstract

The paper describes a research project which was designed to investigate the feasibility of using mathematical models to forecast cargo air shipments. Seven mathematical models were evaluated. In a two phase research effort, actual movement through eight routes over forty-one months was first evaluated according to six different criteria for six forecasting models. Parameters were varied for the models to approach optimality. Using results from the first phase, three models were re-evaluated through thirty-nine routes for thirty-six months each. An adaptive exponential model was identified as being most suitable for the contemplated usage.

Open PDF

Document Details

Document Type
Technical Report
Publication Date
Dec 01, 1973
Accession Number
AD0776823

Entities

People

  • Francis E. James Jr.

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Air Platforms
  • Human Systems

DTIC Thesaurus Topics

  • Air Force
  • Air Transportation
  • Aircrafts
  • Airlift Operations
  • Commerce
  • Commercial Aircraft
  • Computer Programs
  • Databases
  • Delphi Method
  • Department Of Defense
  • Feasibility Studies
  • Lead Time
  • Logistics
  • Logistics Management
  • Mathematical Models
  • Military Operations
  • Transportation

Readers

  • Aerospace logistics and air mobility.
  • Computational Modeling and Simulation
  • Mathematics or Statistics