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 …

[HTML][HTML] Urban Aviation: The Future Aerospace Transportation System for Intercity and Intracity Mobility

G Wild - Urban Science, 2024 - mdpi.com
This review discusses the challenges of integrating emerging transportation technologies
into existing urban environments, considering their impact on equity, sustainability, and …

[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 …

Development and challenges of autonomous electric vertical take-off and landing aircraft

L Hu, X Yan, Y Yuan - Heliyon, 2025 - cell.com
Abstract Urban Air Transportation (UAT) encompasses private aircraft, air taxis, and
specialized missions. These missions include aerial sightseeing, logistics transportation …

[HTML][HTML] 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 …

Efficient and secure service function chain deployment method for delay optimization in air traffic information network

Y Yang, B Wang, R Guo, J Tian, P Luo, D Li, X Li - Scientific Reports, 2024 - nature.com
The air traffic information network is fundamental for ensuring the efficient and safe
operation of flights. However, with the increasing demands of air traffic services, the rigidity …

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 …

Intelligent Traffic Flow Prediction Using Deep Learning Techniques: A Comparative Study

SA Sayed, Y Abdel-Hamid, HA Hefny - SN Computer Science, 2025 - Springer
Congestion in major cities poses a serious threat to long-term city planning and growth.
There are several factors that contribute to traffic congestion, including construction zones …

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 …