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Improved Flight Time Predictions for Fuel Loading Decisions of Scheduled Flights with a Deep Learning Approach
Under increasing economic and environmental pressure, airlines are const...
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A Review on Flight Delay Prediction
Flight delays hurt airlines, airports, and passengers. Their prediction ...
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A Data Mining Approach to Flight Arrival Delay Prediction for American Airlines
In the present scenario of domestic flights in USA, there have been nume...
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Helping Reduce Environmental Impact of Aviation with Machine Learning
Commercial aviation is one of the biggest contributors towards climate c...
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Estimating and Projecting Air Passenger Traffic during the COVID-19 Coronavirus Outbreak and its Socio-Economic Impact
The main focus of this study is to collect and prepare data on air passe...
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Integrated Dataset of Brazilian Flights
The Brazilian commercial aviation system achieved the first position amo...
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On Initializing Airline Crew Pairing Optimization for Large-scale Complex Flight Networks
Crew pairing optimization (CPO) is critically important for any airline,...
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How Fast You Can Actually Fly: A Comparative Investigation of Flight Airborne Time in China and the U.S
Actual airborne time (AAT) is the time between wheels-off and wheels-on of a flight. Understanding the behavior of AAT is increasingly important given the ever growing demand for air travel and flight delays becoming more rampant. As no research on AAT exists, this paper performs the first empirical analysis of AAT behavior, comparatively for the U.S. and China. The focus is on how AAT is affected by scheduled block time (SBT), origin-destination (OD) distance, and the possible pressure to reduce AAT from other parts of flight operations. Multiple econometric models are developed. The estimation results show that in both countries AAT is highly correlated with SBT and OD distance. Flights in the U.S. are faster than in China. On the other hand, facing ground delay prior to takeoff, a flight has limited capability to speed up. The pressure from short turnaround time after landing to reduce AAT is immaterial. Sensitivity analysis of AAT to flight length and aircraft utilization is further conducted. Given the more abundant airspace, flexible routing networks, and efficient ATFM procedures, a counterfactual that the AAT behavior in the U.S. were adopted in China is examined. We find that by doing so significant efficiency gains could be achieved in the Chinese air traffic system. On average, 11.8 minutes of AAT per flight would be saved, coming from both reduction in SBT and reduction in AAT relative to the new SBT. Systemwide fuel saving would amount to over 300 million gallons with direct airline operating cost saving of nearly 1.3 billion nationwide in 2016.
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