Examining Arrival Time Predictability in the NAS using Monte Carlo Methods

Abstract

The Next Generation Air Transportation System (NextGen) implementation plan articulates that NextGen will become a better way of doing business because travel will be come more predictable [1]. This is important because predictably of flight operational events, in particular flight arrival times, have a significant impact on direct operating cost to the airline industry and passengers and an indirect effect on the economy [2, 3]. Uncertainty in flight arrival times causes carriers to increase their scheduled gate-to-gate times (schedule block times) by adding a buffer (or pad), a practice called schedule padding. Airlines claim that improvements to arrival time predictability could add revenue flights to their schedules without the cost of aircraft acquisitions [4].

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 2012
Accession Number
AD1108511

Entities

People

  • Billy Jr Baden
  • David C. Millner
  • Gareth O. Coville
  • Seli Agbolosu-amison
  • Stephane Mondoloni

Organizations

  • MITRE Corporation

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Air Traffic
  • Air Transportation
  • Aircrafts
  • Aviation Technology
  • Congestion
  • Corporations
  • Data Science
  • Information Science
  • Infrastructure
  • Monte Carlo Method
  • Simulations
  • Standards
  • Statistics
  • Uncertainty
  • United States
  • Validation
  • Virginia

Readers

  • Aviation Safety and Air Traffic Management
  • Economics
  • Regression Analysis.