A deep reinforcement learning approach for airport departure metering under spatial–temporal airside interactions
Airport taxi delays adversely affect airports and airlines around the world leading to airside
congestion, increased Air Traffic Controllers/Pilot workload, and adverse environmental …
congestion, increased Air Traffic Controllers/Pilot workload, and adverse environmental …
Lower cost departures for airlines: Optimal policies under departure metering
Departure metering is an airport surface management procedure that limits the number of
aircraft in the runway queue by holding aircraft either at a predesigned metering area or at …
aircraft in the runway queue by holding aircraft either at a predesigned metering area or at …
Deep reinforcement learning based airport departure metering
Airport taxi delays adversely affect airports and airlines around the world in terms of
congestion, operational workload, and environmental emissions. Departure Metering (DM) …
congestion, operational workload, and environmental emissions. Departure Metering (DM) …
Toward Greener and Sustainable Airside Operations: A Deep Reinforcement Learning Approach to Pushback Rate Control for Mixed-Mode Runways
Airside taxi delays have adverse consequences for airports and airlines globally, leading to
airside congestion, increased Air Traffic Controller/Pilot workloads, missed passenger …
airside congestion, increased Air Traffic Controller/Pilot workloads, missed passenger …
Robust decision-support tools for airport surface traffic
FR Carr - 2004 - dspace.mit.edu
Forecasts of departure demand are one of the driving inputs to tactical decision-support
tools (DSTs) for airport surface traffic. While there are well-known results on average-or …
tools (DSTs) for airport surface traffic. While there are well-known results on average-or …
Integrated airside landside framework to assess passenger missed connections with airport departure metering
Airport departure metering can contain airside congestion but it may adversely impact
scheduled gate assignments leading to passenger missed connections. Using an integrated …
scheduled gate assignments leading to passenger missed connections. Using an integrated …
Quantitative analysis of uncertainty in airport surface operations
D Rappaport, P Yu, K Griffin, C Daviau - 9th AIAA Aviation Technology …, 2009 - arc.aiaa.org
As new surface-related air traffic management decision support tools (DSTs) are developed,
it is imperative to understand the interactions between various surface operations and the …
it is imperative to understand the interactions between various surface operations and the …
Evaluation of improved pushback forecasts derived from airline ground operations data
HE typical airline passenger thinks of air traffic in terms of flights from a departure airport to
their destination. From the perspective of an airline, once a flight is successfully en-route, its …
their destination. From the perspective of an airline, once a flight is successfully en-route, its …
Data driven and learning based approaches for integrated landside airside operations optimization
H Ali - 2022 - dr.ntu.edu.sg
Asia has witnessed a meteoric rise in its air traffic in the last decade; leading the region to
experience the fastest air traffic growth, globally. However, air traffic infrastructure has not …
experience the fastest air traffic growth, globally. However, air traffic infrastructure has not …
Reduced taxi delays with intelligent departure metering advisory tool (I-MATE): insights from air traffic controller validation experiments
Airport taxi delays significantly impact airlines, passengers, and the environment. Effectively
addressing taxi delays necessitates the synchronization of stochastic and uncertain airside …
addressing taxi delays necessitates the synchronization of stochastic and uncertain airside …