Traffic management approaches using machine learning and deep learning techniques: A survey

H Almukhalfi, A Noor, TH Noor - Engineering Applications of Artificial …, 2024 - Elsevier
Traffic management is improved in cutting-edge smart cities using technologies such as
machine learning and deep learning to streamline daily tasks and boost productivity …

TCFLTformer: TextCNN-Flat-Lattice Transformer for Entity Recognition of Air Traffic Management Cyber Threat Knowledge Graphs

C Liu, B Wang, Z Wang, J Tian, P Luo, Y Yang - Aerospace, 2023 - mdpi.com
With the development of the air traffic management system (ATM), the cyber threat for ATM is
becoming more and more serious. The recognition of ATM cyber threat entities is an …

[HTML][HTML] A reinforcement learning approach to vehicle coordination for structured advanced air mobility

S Deniz, Y Wu, Y Shi, Z Wang - Green Energy and Intelligent Transportation, 2024 - Elsevier
Abstract Advanced Air Mobility (AAM) has emerged as a pioneering concept designed to
optimize the efficacy and ecological sustainability of air transportation. Its core objective is to …

Agent 3, change your route: possible conversation between a human manager and UAM Air Traffic Management (UATM)

J Kim, K Kim - arXiv preprint arXiv:2306.14216, 2023 - arxiv.org
This work in progress paper provides an example to show a detouring procedure through
knowledge representation and reasoning. When a human manager requests a detouring …

Dialogue Possibilities between a Human Supervisor and UAM Air Traffic Management: Route Alteration

J Kim, K Kim - arXiv preprint arXiv:2308.06411, 2023 - arxiv.org
This paper introduces a novel approach to detour management in Urban Air Traffic
Management (UATM) using knowledge representation and reasoning. It aims to understand …

We, Vertiport 6, are temporarily closed: Interactional Ontological Methods for Changing the Destination

S Woo, J Kim, K Kim - arXiv preprint arXiv:2307.03558, 2023 - arxiv.org
This paper presents a continuation of the previous research on the interaction between a
human traffic manager and the UATMS. In particular, we focus on the automation of the …

Machine Learning-based Aircraft Conflict Prediction: A Systematic Literature Review

M Jamal, NZ Jhanjhi - 2023 - preprints.org
Over the last few decades, there is a remarkable increase in air traffic worldwide; however,
despite of rapid technological development and improved airport infrastructure, there is still …

Flight Time Prediction of Arrival Air Traffic Flows Using Time-Based Airspace Model Applying Machine-Learning Methods

T Nishida, E Itoh - Asia-Pacific International Symposium on Aerospace …, 2023 - Springer
Efficient airport operations are required as the demand for airports is expected to increase.
In this study, we focused on arrival management in an air traffic system and attempted to …

A Novel Approach to Trajectory Situation Awareness Using Multi-modal Deep Learning Models

D Xiang, C Ying, L Dai - International Conference on Cognitive …, 2023 - Springer
This paper presents a novel multi-modal deep learning framework, TSA-MM, for accurate
trajectory situational awareness in transportation and military systems. The proposed …

Predicción de trayectorias aéreas con técnicas de Deep Learning

P Mielgo Martín - 2023 - uvadoc.uva.es
En la actualidad el avión es el medio de transporte más utilizado para realizar
desplazamientos de media y larga distancia. Durante los últimos años se ha presenciado …