Dynamic Charging Stations for Autonomous Service Drones in Smart Cities

This paper introduces the concept of static and dynamic charging stations for autonomous drones operating within smart cities. As the demand for drone-based services continues to grow, ranging from package delivery to infrastructure monitoring, extending flight range and optimizing energy usage have become critical challenges. The proposed solution aims to address these issues by enabling drones to recharge using both fixed charging stations (static vertiports) and mobile platforms (dynamic vertiports) integrated into public transportation systems. The core idea is to allow drones to land on and travel with moving vehicles such as buses, trams, taxis, and other public transit units. These vehicles not only assist in covering part of the drone’s route without using its own propulsion system but also serve as in-motion charging hubs. This dual function significantly reduces battery consumption and downtime, enabling drones to operate over longer distances and complete more complex missions without interruption. By leveraging the existing transportation infrastructure, this system minimizes the need for new construction while enhancing energy efficiency and operational flexibility. The integration of smart route planning, real-time data exchange, and wireless charging technologies will further optimize drone mobility in urban environments. Ultimately, this approach enhances the reliability and sustainability of drone operations, paving the way for more scalable and seamless integration of drones into the fabric of future smart cities.

Authors

Institutions

Publication Details

Published
2025-07-16
DOI
https://doi.org/10.2514/6.2025-3350
Primary Topic
Vehicular Ad Hoc Networks (VANETs)
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Dynamic Charging Stations for Autonomous Service Drones in Smart Cities

Mostafa Hassanalian, Fahad Mannan
Vehicular Ad Hoc Networks (VANETs)
article

Dynamic Charging Stations for Autonomous Service Drones in Smart Cities

Mostafa Hassanalian, Fahad Mannan
article en

Abstract

This paper introduces the concept of static and dynamic charging stations for autonomous drones operating within smart cities. As the demand for drone-based services continues to grow, ranging from package delivery to infrastructure monitoring, extending flight range and optimizing energy usage have become critical challenges. The proposed solution aims to address these issues by enabling drones to recharge using both fixed charging stations (static vertiports) and mobile platforms (dynamic vertiports) integrated into public transportation systems. The core idea is to allow drones to land on and travel with moving vehicles such as buses, trams, taxis, and other public transit units. These vehicles not only assist in covering part of the drone’s route without using its own propulsion system but also serve as in-motion charging hubs. This dual function significantly reduces battery consumption and downtime, enabling drones to operate over longer distances and complete more complex missions without interruption. By leveraging the existing transportation infrastructure, this system minimizes the need for new construction while enhancing energy efficiency and operational flexibility. The integration of smart route planning, real-time data exchange, and wireless charging technologies will further optimize drone mobility in urban environments. Ultimately, this approach enhances the reliability and sustainability of drone operations, paving the way for more scalable and seamless integration of drones into the fabric of future smart cities.

New Mexico Institute of Mining and Technology (US)
Climate action
Openalex Percentile: Top 84%
Vehicular Ad Hoc Networks (VANETs)
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.