Title page for ETD etd-06302000-00270039


Type of Document Dissertation
Author Baik, Hojong
Author's Email Address hbaik@vt.edu
URN etd-06302000-00270039
Title Development of Optimization and Simulation Models for the Analysis of Airfield Operations
Degree PhD
Department Civil Engineering
Advisory Committee
Advisor Name Title
Sherali, Hanif D. Committee Co-Chair
Trani, Antonio A. Committee Co-Chair
Martinez, Julio C. Committee Member
Rakha, Hesham Ahmed Committee Member
Teodorovic, Dusan Committee Member
Keywords
  • Dynamic Network Assignment Problem
  • Traveling Salesman Problem with Time-window
  • Integer Programming
  • Object-oriented Programming
  • Microscopic Simulation Model
  • Air Traffic Control
Date of Defense 2000-05-22
Availability unrestricted
Abstract
This research is concerned with the modeling and development of algorithmic approaches for solving airport operational problems that arise in Air Traffic Control (ATC) systems within the terminal area at hub airports. Specifically, the problems addressed include the Aircraft Sequencing Problem (ASP) for runway operations, the Network Assignment Problem (NAP) for taxiway operations, and a simulation model for the evaluation of current or proposed ATC system in detail.

For the ASP, we develop a mathematical model and apply the Reformulation-Linearization-Technique (RLT) of Sherali and Adams to construct an enhanced tightened version of the proposed model. Since ASP is NP-Hard and in fact, it is a variation of the well-known Traveling Salesman Problem with time-windows, sub-optimal solutions are usually derived to accommodate the real-time constraints of ATC systems. Nevertheless, we exhibit a significant advancement in this challenging class of problem. Also for the purpose of solving relatively large sized problems in practice, we develop and test suitable heuristic procedures.

For the NAP, we propose a quasi-dynamic assignment scheme which is based on the incremental assignment technique. This quasi-dynamic assignment method assumes that the current aircraft route is influenced only by the previous aircraft assigned to the network. This simplified assumption obviates the need for iterative rerouting procedures to reach a pure equilibrium state which might not be achievable in practical taxiway operations. To evaluate the overall system, we develop a microscopic simulation model. The simulation model is designed to have the capability for reproducing not only the dynamic behavior of aircraft, but also incorporates communication activities between controllers and pilots. These activities are critical in ATC operations, and in some instances, might limit the capacity of the facility.

Finally, using the developed simulation model named Virginia Tech Airport Simulation Model (VTASM) in concert with ASP and NAP, we compare the overall efficiencies of several control strategies, including that of the existing control system as well as of the proposed advanced control system.

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