Chained predictions of flight delay using machine learning
J Chen, M Li - AIAA Scitech 2019 forum, 2019 - arc.aiaa.org
With rapid growth of air traffic, increasing flight delays in the United States (US) have
become a serious and prominent problem. According to the Bureau of Transportation …
become a serious and prominent problem. According to the Bureau of Transportation …
Probabilistically guaranteed path planning for safe urban air mobility using chance constrained rrt
Flying safety is a critical concern for the successful operation of urban air mobility. This
paper proposes a novel path planning algorithm based on the Rapidly-exploring Random …
paper proposes a novel path planning algorithm based on the Rapidly-exploring Random …
A Combinatorial model to optimize air traffic flow management problems
D García-Heredia, A Alonso-Ayuso, E Molina - Computers & Operations …, 2019 - Elsevier
In this paper we introduce a new 0–1 mathematical formulation for the Air Traffic Flow
Management problem. The model is based on a 4D-graph, which allows us to consider the …
Management problem. The model is based on a 4D-graph, which allows us to consider the …
Optimal air traffic flow management with carbon emissions considerations
Air Transportation contributes in more than 2% of the total global emissions. In this paper,
we formulate the air traffic flow management (ATFM) problem as a bi-objective mixed integer …
we formulate the air traffic flow management (ATFM) problem as a bi-objective mixed integer …
Fast-time demand-capacity balancing optimizer for collaborative air traffic flow management
UNDER current air traffic management (ATM) operations, one of the primary causes for flight
delays and congestion is that the number of flights (demand) often exceeds the supply of the …
delays and congestion is that the number of flights (demand) often exceeds the supply of the …
Integration of digital weather and air traffic data for NextGen
R Madhavrao, A Moosakhanian - 2018 IEEE/AIAA 37th Digital …, 2018 - ieeexplore.ieee.org
The FAA's NextGen Weather Processor and Common Support Services-Weather programs
will enable significantly higher-performance weather product generation and dissemination …
will enable significantly higher-performance weather product generation and dissemination …
Apache spark as a tool for parallel population-based optimization
P Jedrzejowicz, I Wierzbowska - … 2019: Proceedings of the 11th KES …, 2020 - Springer
Apache Spark as a Tool for Parallel Population-Based Optimization | SpringerLink Skip to main
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Path planning for multiple energy constrained unmanned aerial vehicles to cover multiple regions
In many UAV applications, such as land assessment, pasture management, and search and
rescue, UAVs are often required to scan multiple regions. How to plan the paths for the …
rescue, UAVs are often required to scan multiple regions. How to plan the paths for the …
Modeling and verifying spark on YARN using process algebra
J Yin, H Zhu, Y Fei, Y Fang - 2019 IEEE 19th International …, 2019 - ieeexplore.ieee.org
As a programming model, Spark is popularly and widely used in processing and generating
large cluster of data sets distributed on large amounts of machines. With its widespread use …
large cluster of data sets distributed on large amounts of machines. With its widespread use …
[PDF][PDF] New models and methods of mathematical optimization in air traffic flow management
EM Ferragut - 2021 - e-archivo.uc3m.es
One of the challenges that the flight industry is currently facing is air traffic saturation. In
short, a saturation of air traffic occurs when the number of flights scheduled to fly a concrete …
short, a saturation of air traffic occurs when the number of flights scheduled to fly a concrete …