A network‐based dynamic air traffic flow model for short‐term en route traffic prediction-Reference-Cited by-同舟云学术

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A network‐based dynamic air traffic flow model for short‐term en route traffic prediction

Published:2016-12 Issue:8 Volume:50 Page:2174-2192
ISSN:0197-6729
Container-title:Journal of Advanced Transportation
language:en
Short-container-title:J. Adv. Transp.

Author:

Chen Dan¹^ORCID,Hu Minghua¹,Ma Yuanyuan¹,Yin Jianan¹

Affiliation:

1. College of Civil AviationNanjing University of Aeronautics and Astronautics Nanjing China

Funder

key project for Civil Aviation Joint Research Fund of National Natural Science Foundation of China

Publisher

Wiley

Subject

Strategy and Management,Computer Science Applications,Mechanical Engineering,Economics and Econometrics,Automotive Engineering

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/atr.1453

Reference33 articles.

1. Airbus “Airbus Global Market Forecast 2015–2034” http://www.airbus.com/company/market/forecast/.

2. GongC McNallyD.A methodology for automated trajectory prediction analysis in proceedings of the AIAA Guidance Navigation and Control Conference and Exhibit pp.1–14 Providence Rhode Island USA 2004.

3. Model Based Aircraft Trajectory Prediction During Takeoff

4. SridharB SoniT ShethK ChatterjiG.An aggregate flow model for air traffic management in proceedings of the AIAA Guidance Navigation and Control Conference and Exhibit Providence Rhode Island USA 2004: pp.1–9.

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1. The integration of En route flow optimization, complex network clustering, and rule-based approach to airspace sub-sectorization for enhanced air traffic monitoring;Journal of the Air Transport Research Society;2024-12

2. On the Possibilities of Efficient Air Traffic Monitoring through Complex Network Clustering Based Airspace Sub-Sectorization: A Multi-Objective Discrete Particle Swarm Optimization Approach;Transportation Research Record: Journal of the Transportation Research Board;2024-08-02

3. Air Traffic Flow Prediction with Spatiotemporal Knowledge Distillation Network;Journal of Advanced Transportation;2024-05-15

4. Short-term multi-step-ahead sector-based traffic flow prediction based on the attention-enhanced graph convolutional LSTM network (AGC-LSTM);Neural Computing and Applications;2024-05-07

5. Compressible Non-Newtonian Fluid Based Road Traffic Flow Equation Solved by Physical-Informed Rational Neural Network;IEEE Access;2024

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