Modelling of marine traffic flow complexity

Y Wen, Y Huang, C Zhou, J Yang, C Xiao, X Wu - Ocean Engineering, 2015 - Elsevier
Recent increases in the number of high-speed, large-scale, and heavy-load vessels have
made marine traffic more complex. Traffic situations are more difficult to manage as a result …

How Has the Concept of Air Traffic Complexity Evolved? Review and Analysis of the State of the Art of Air Traffic Complexity

F Pérez Moreno, VF Gómez Comendador… - Applied Sciences, 2024 - mdpi.com
Featured Application Application of main conclusions when developing a complexity
indicator for giving information about air traffic. Abstract Air traffic complexity is an indicator …

Toward air traffic complexity assessment in new generation air traffic management systems

M Prandini, L Piroddi, S Puechmorel… - IEEE transactions on …, 2011 - ieeexplore.ieee.org
The characterization of complex air traffic situations is an important issue in air traffic
management (ATM). Within the current ground-based ATM system, complexity metrics have …

Polling-systems-based autonomous vehicle coordination in traffic intersections with no traffic signals

D Miculescu, S Karaman - IEEE Transactions on Automatic …, 2019 - ieeexplore.ieee.org
As autonomous vehicle technology advances rapidly, the design and operation of networks
composed of fully autonomous vehicles have attracted immense interest. It is widely …

MAST-GNN: A multimodal adaptive spatio-temporal graph neural network for airspace complexity prediction

B Li, Z Li, J Chen, Y Yan, Y Lv, W Du - Transportation Research Part C …, 2024 - Elsevier
Airspace complexity is defined as an essential indicator to comprehensively measure the
safety of air traffic operational situations. A reliable prediction of airspace complexity can …

Predicting separation errors of air traffic controllers through integrated sequence analysis of multimodal behaviour indicators

R Xiong, Y Wang, P Tang, NJ Cooke, SV Ligda… - Advanced Engineering …, 2023 - Elsevier
Predicting separation errors in the daily tasks of air traffic controllers (ATCOs) is essential for
the timely implementation of mitigation strategies before performance declines and the …

Multi-stage and multi-topology analysis of ship traffic complexity for probabilistic collision detection

X Xin, Z Yang, K Liu, J Zhang, X Wu - Expert Systems with Applications, 2023 - Elsevier
Maritime traffic situational awareness plays a vital role in the development of intelligent
transportation-support systems. The state-of-the-art study focuses on near-miss collision risk …

Learning air traffic as images: A deep convolutional neural network for airspace operation complexity evaluation

H Xie, M Zhang, J Ge, X Dong, H Chen - Complexity, 2021 - Wiley Online Library
A sector is a basic unit of airspace whose operation is managed by air traffic controllers. The
operation complexity of a sector plays an important role in air traffic management system …

A deep unsupervised learning approach for airspace complexity evaluation

B Li, W Du, Y Zhang, J Chen, K Tang… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Airspace complexity is a critical metric in current Air Traffic Management systems for
indicating the security degree of airspace operations. Airspace complexity can be affected …

Determination of air traffic complexity most influential parameters based on machine learning models

F Pérez Moreno, VF Gómez Comendador… - Symmetry, 2022 - mdpi.com
Today, aircraft demand is exceeding the capacity of the Air Traffic Control (ATC) system. As
a result, airspace is becoming a very complex environment to control. The complexity of …