Highlights We present an innovative aircraft traffic control system for complex and busy TCAs. A rolling horizon framework is developed based on a detailed mathematical model. Heuristic and exact algorithms are applied for delay and travel time minimization. We take care of uncertainty of the predicted operational conditions over time. Results demonstrate the benefits of rolling horizon versus centralized approaches.
Abstract This paper addresses the real-time problem of scheduling aircraft in a terminal control area. We formulate this problem via the alternative graph formulation. A rolling horizon framework is introduced to manage busy traffic situations with a large number of delayed aircraft. As scheduling algorithms, we compare a branch and bound (BB) algorithm with a first come first served (FCFS) rule. The algorithms are evaluated on practical size instances from Roma Fiumicino and Milano Malpensa. Experimental results demonstrate that BB better minimizes aircraft delays and travel times compared to FCFS. BB also requires less frequent changes of aircraft scheduling decisions.
Rolling horizon approach for aircraft scheduling in the terminal control area of busy airports
2013-01-01
16 pages
Aufsatz (Zeitschrift)
Elektronische Ressource
Englisch
Metaheuristics for efficient aircraft scheduling and re-routing at busy terminal control areas
Online Contents | 2016
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