Predicting and planning airport acceptance rates in metroplex systems for improved traffic flow management decision support

MCR Murça, RJ Hansman - Transportation Research Part C: Emerging …, 2018 - Elsevier
Abstract Efficient planning of Airport Acceptance Rates (AARs) is key for the overall
efficiency of Traffic Management Initiatives such as Ground Delay Programs (GDPs). Yet …

Predictive and prescriptive analytics toward passenger-centric ground delay programs

A Jacquillat - Transportation Science, 2022 - pubsonline.informs.org
Ground delay programs (GDPs) comprise the main interventions to optimize flight operations
in congested air traffic networks. The core GDP objective is to minimize flight delays, but this …

Airline-driven ground delay programs: A benefits assessment

C Yan, V Vaze, C Barnhart - Transportation Research Part C: Emerging …, 2018 - Elsevier
Three decades of research studies in ground delay program (GDP) decision-making, and air
traffic flow management in general, have produced several analytical models and decision …

Data-Driven Modeling of Air Traffic Flows for Advanced Air Traffic Management

M Condé Rocha Murça, RJ Hansman - 2019 - dspace.mit.edu
The Air Traffic Management (ATM) system enables air transportation by ensuring a safe and
orderly air traffic flow. As the air transport demand has grown, ATM has become increasingly …

Airline scheduling and air traffic control: incorporating uncertainty and passenger and airline preferences

C Yan - 2017 - dspace.mit.edu
The global airline industry is a multi-stakeholder stochastic system whose performance is
the outcome of complex interactions between its multiple decisions-makers under a high …

Applying majority judgment over a polyhedral candidate space

C Yan, P Swaroop, MO Ball, C Barnhart… - Available at SSRN …, 2017 - papers.ssrn.com
Most of the existing voting methods deal with a moderate (or at least finite) number of
candidates. In practice, there are important voting applications where candidate space is …

[HTML][HTML] Unsupervised prototype reduction for data exploration and an application to air traffic management initiatives

A Estes, DJ Lovell, MO Ball - EURO Journal on Transportation and …, 2019 - Elsevier
We discuss a new approach to unsupervised learning and data exploration that involves
summarizing a large data set using a small set of “representative” elements. These …

Quantifying the Goodness of a Traffic Flow Management Strategy

E Vargo, CP Taylor, T St. Clair, P Casselle… - AIAA AVIATION FORUM …, 2024 - arc.aiaa.org
Traffic Flow Management is a collaborative planning process where stakeholders work to
develop a consensus on a congestion mitigation strategy under the significant uncertainties …

Majority judgment over a convex candidate space

C Yan, P Swaroop, MO Ball, C Barnhart… - Operations Research …, 2019 - Elsevier
Most voting methods can only deal with a finite number of candidates. In practice, there are
important voting applications where the candidate space is continuous. We describe a new …

Problems originating from the planning of air traffic management initiatives

AS Estes - 2018 - search.proquest.com
When weather affects the ability of an airport to accommodate flights, a ground delay
program is used to control the rate at which flights arrive at the airport. This prevents …