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Open AccessJournal ArticleDOI

A Survey on Operation Concept, Advancements, and Challenging Issues of Urban Air Traffic Management

TLDR
In this paper, the authors present the two major low altitude UAV traffic management system in the USA and Europe and compare them thoroughly, and discuss the challenging security issues in urban traffic management systems.
Abstract
The recent growth and adoption of Unmanned Aerial Vehicles (UAVs) is due to its low development cost, high aerial mobility, advanced battery technology, rotors, gyroscopes, GPS, cameras, sensors and a wide range of applications. The UAV offers new possibilities for business in civil and non-civil applications such as parcel delivery, aerial mapping, agriculture, wildlife conservation, surveillance, search and rescue, etc. However, considering the exponential growth in various types of aerial vehicles, it is clear that advanced air traffic management services are urgently needed to control and handle the ever increasing air traffics. In this paper, we first present the two major low altitude UAV traffic management system in the USA and Europe and compare them thoroughly. We present the global vision and advancement of UAV traffic management system, and then discuss the existing research trends. Understanding the complexity of future air transportation system, we discuss the necessary elements required for urban air traffic management system. We provide key strategic elements for an advanced urban traffic management through connectivity, open source, safety enhancement and automation to maximize its impacts on the innovative future air traffic and mobility system. In the end, we discuss the challenging security issues in urban traffic management system.

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Journal ArticleDOI

6G Enabled Unmanned Aerial Vehicle Traffic Management: A Perspective

TL;DR: In this article, the authors present a future perspective of 6G-enabled UAV ecosystems in a very dense and urban air-traffic scenario focusing on non-terrestrial features, including aerial and satellite communication.
Journal ArticleDOI

Machine-Learning-Enabled Intrusion Detection System for Cellular Connected UAV Networks

TL;DR: In this article, a UAV-and satellite-based 5G-network security model that can harness machine learning to effectively detect of vulnerabilities and cyberattacks is proposed, where the solution is divided into two main parts: the model creation for intrusion detection using various machine learning (ML) algorithms and the implementation of ML-based model into terrestrial or satellite gateways.
Journal ArticleDOI

Deep Learning Architecture for UAV Traffic-Density Prediction

TL;DR: In this paper , a one-dimensional convolutional neural network and encoder-decoder LSTM framework is proposed to integrate air traffic flow prediction with the intrinsic complexity metric, which takes into account the important differences between ATM and UTM operations.
Journal ArticleDOI

Unmanned Aerial Vehicles Traffic Management Solution Using Crowd-Sensing and Blockchain

TL;DR: In this article , a decentralized UAV traffic management system (UTM) protocol is proposed that controls access to airspace and ensures the security objectives of confidentiality, integrity, and availability for UAV operations.
Journal ArticleDOI

UAV-Assisted Traffic Speed Prediction via Gray Relational Analysis and Deep Learning

Yanliu Zheng, +2 more
- 02 Jun 2023 - 
TL;DR: Wang et al. as discussed by the authors developed a framework for traffic speed extraction and prediction based on UAV imagery processing, which consists of two parts: a traffic information extraction module based on uAV imagery recognition and a traffic speed prediction mechanism based on deep learning.