A multi-agent approach for reactionary delay prediction of flights
Flight schedules are highly sensitive to delays and witness these events on a very frequent
basis. In an interconnected and interdependent air transportation system, these delays can …
basis. In an interconnected and interdependent air transportation system, these delays can …
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 …
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) …
Dynamic hot spot prediction by learning spatial-temporal utilization of taxiway intersections
Airports across the world are expanding by building multiple ground control towers and
resorting to complex taxiway and runway system, in response to growing air traffic. Current …
resorting to complex taxiway and runway system, in response to growing air traffic. Current …
Classification of weather impacts on airport operations
Classification of weather impacts on airport operations will allow efficient consideration of
local weather events in network-wide analysis. We use machine learning approaches in our …
local weather events in network-wide analysis. We use machine learning approaches in our …
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 …
Opportunities in transit tourism: A case study of Hong Kong as a transit destination
PCM Poon, GKS Ho - Journal of Travel & Tourism Marketing, 2021 - Taylor & Francis
This study explores the opportunities for developing transit tourism by examining the
reasons why transit passengers participate or not in such tourism while in-transiting. The …
reasons why transit passengers participate or not in such tourism while in-transiting. The …
Minimization of mean-CVaR evacuation time of a crowd using rescue guides: a scenario-based approach
In case of a threat in a public space, the crowd in it should be moved to a shelter or
evacuated without delays. Risk management and evacuation planning in public spaces …
evacuated without delays. Risk management and evacuation planning in public spaces …
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 …
Pavement infrastructure asset management using clustering-based Ant Colony Optimization
Pavement asset management comprises of all the activities involved in the planning stage
and design stage followed by execution involving inventory, resource allocation, and …
and design stage followed by execution involving inventory, resource allocation, and …