A dynamic rerouting model for air traffic flow management

In this paper, we present a stochastic integer programming model for managing air traffic inbound to an airport when both the airport itself and its approach routes are subject to adverse weather. In the model, ground delay decisions are static, while those on rerouting are dynamic. The decision var...

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Veröffentlicht in:	Transportation research. Part B: methodological Jg. 43; H. 1; S. 159 - 171
Hauptverfasser:	Mukherjee, Avijit, Hansen, Mark
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Kidlington Elsevier Ltd 2009 Elsevier
Schriftenreihe:	Transportation Research Part B: Methodological
Schlagworte:	Air traffic management Air traffic management Stochastic optimization Scenario tree Collaborative decision making Ground holding Rerouting Convective weather Integer programming Capacity constraints Aircraft routing Traffic flow management Airspace flow program Air transportation and traffic Aircraft routing Airspace flow program Applied sciences Capacity constraints Collaborative decision making Convective weather Exact sciences and technology Ground holding Ground, air and sea transportation, marine construction Integer programming Rerouting Scenario tree Stochastic optimization Traffic flow management Transportation planning, management and economics Collaborative decision making Ground holding Integer programming Aircraft routing Scenario tree Convective weather Traffic flow management Airspace flow program Air traffic management Rerouting Stochastic optimization Capacity constraints Performance evaluation Modeling Optimization Traffic flow Forwarding Dynamic model Script Decision making Routing Weather Stochastic analysis Traffic management Air traffic Air transportation Aircraft Comparative study
ISSN:	0191-2615, 1879-2367
Online-Zugang:	Volltext
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