Version 1
: Received: 2 July 2024 / Approved: 2 July 2024 / Online: 3 July 2024 (02:49:51 CEST)
How to cite:
Nguyen, D. D.; Dang, Q. D. Developing an Intelligent Drone Management System for Smart City Transportation Networks. Preprints2024, 2024070265. https://doi.org/10.20944/preprints202407.0265.v1
Nguyen, D. D.; Dang, Q. D. Developing an Intelligent Drone Management System for Smart City Transportation Networks. Preprints 2024, 2024070265. https://doi.org/10.20944/preprints202407.0265.v1
Nguyen, D. D.; Dang, Q. D. Developing an Intelligent Drone Management System for Smart City Transportation Networks. Preprints2024, 2024070265. https://doi.org/10.20944/preprints202407.0265.v1
APA Style
Nguyen, D. D., & Dang, Q. D. (2024). Developing an Intelligent Drone Management System for Smart City Transportation Networks. Preprints. https://doi.org/10.20944/preprints202407.0265.v1
Chicago/Turabian Style
Nguyen, D. D. and Q. Dat Dang. 2024 "Developing an Intelligent Drone Management System for Smart City Transportation Networks" Preprints. https://doi.org/10.20944/preprints202407.0265.v1
Abstract
Drones have experienced rapid technological advancements, leading to the proliferation of small, low-cost, remotely controlled, and autonomous aerial vehicles with diverse applications, from package delivery to personal transportation. However, integrating these drones into the existing air traffic management (ATM) system poses significant challenges. The current ATM infrastructure, designed primarily for traditional manned aircraft, requires enhanced capacity, workforce, and cost-effectiveness to coordinate the large numbers of drones expected to operate at low altitudes in complex urban environments. To address this critical issue, this study aims to develop an intelligent, highly automated drone management system for integration into smart city transportation networks. The key objectives include: i) Developing a conceptual framework for an intelligent total transportation management system tailored for future smart cities, focusing on incorporating drone operations; ii) Designing an advanced air traffic management and flight control system capable of managing individual drones and drone swarms in complex urban environments; iii) Improving drone management methods by leveraging drone-following models and emerging technologies such as the Internet of Things (IoT) and the Internet of Drones (IoD); and iv) Investigating the landing processes and protocols for unmanned aerial vehicles (UAVs) to enable safe and efficient operations.
Keywords
UTM; ATM; Intelligent Transportation System; UAV; Smart City
Subject
Engineering, Aerospace Engineering
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.