[HTML][HTML] Applications of stochastic modeling in air traffic management: Methods, challenges and opportunities for solving air traffic problems under uncertainty

R Shone, K Glazebrook, KG Zografos - European Journal of Operational …, 2021 - Elsevier
In this paper we provide a wide-ranging review of the literature on stochastic modeling
applications within aviation, with a particular focus on problems involving demand and …

Dynamic control of runway configurations and of arrival and departure service rates at JFK airport under stochastic queue conditions

A Jacquillat, AR Odoni… - Transportation …, 2017 - pubsonline.informs.org
High levels of flight delays require implementation of airport congestion mitigation tools. In
this paper, we optimize the use of airport capacity at the tactical level in the face of …

A stochastic integer programming approach to air traffic scheduling and operations

K Wang, A Jacquillat - Operations Research, 2020 - pubsonline.informs.org
Air traffic management measures comprise tactical operating procedures to minimize delay
costs and strategic scheduling interventions to control overcapacity scheduling. Although …

An aggregate stochastic programming model for air traffic flow management

G Andreatta, P Dell'Olmo, G Lulli - European Journal of Operational …, 2011 - Elsevier
In this paper, we present an aggregate mathematical model for air traffic flow management
(ATFM), a problem of great concern both in Europe and in the United States. The model …

A stochastic 0–1 program based approach for the air traffic flow management problem

A Alonso, LF Escudero, MT Ortuno - European Journal of Operational …, 2000 - Elsevier
We present a model and a robust algorithmic framework for the Air Traffic Flow Management
Problem (TFMP) under uncertainty in airport arrival and departure and airspace capacity …

[HTML][HTML] An optimization–simulation closed-loop feedback framework for modeling the airport capacity management problem under uncertainty

P Scala, MM Mota, CL Wu, D Delahaye - Transportation Research Part C …, 2021 - Elsevier
This paper presents an innovative approach that combines optimization and simulation
techniques for solving scheduling problems under uncertainty. We introduce an Opt–Sim …

Endogenous control of service rates in stochastic and dynamic queuing models of airport congestion

A Jacquillat, AR Odoni - Transportation Research Part E: Logistics and …, 2015 - Elsevier
Airport congestion mitigation requires reliable delay estimates. This paper presents an
integrated model of airport congestion that combines a tactical model of capacity utilization …

Two-stage stochastic mixed-integer programming with chance constraints for extended aircraft arrival management

A Khassiba, F Bastin, S Cafieri… - Transportation …, 2020 - pubsonline.informs.org
The extended aircraft arrival management problem, as an extension of the classic aircraft
landing problem, seeks to preschedule aircraft on a destination airport a few hours before …

Models and algorithms for transient queueing congestion at airports

MD Peterson, DJ Bertsimas… - Management Science, 1995 - pubsonline.informs.org
We develop a new model for studying the phenomenon of congestion in a transient
environment, focusing on the problem of aircraft landings at a busy “hub” airport. Our model …

A robust optimization approach for airport departure metering under uncertain taxi-out time predictions

MCR Murça - Aerospace science and technology, 2017 - Elsevier
Airports are critical elements in the air transportation system in terms of traffic flow
management. The high volume of operations along with the constraining airside capacity …