Next Article in Journal
Multi-UAV Cooperative Localization Using Adaptive Wasserstein Filter with Distance-Constrained Bare Bones Self-Recovery Particles
Next Article in Special Issue
Inland Water Quality Monitoring Using Airborne Small Cameras: Enhancing Suspended Sediment Retrieval and Mitigating Sun Glint Effects
Previous Article in Journal
A Robust Strategy for UAV Autonomous Landing on a Moving Platform under Partial Observability
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Review

Monitoring Nodal Transportation Assets with Uncrewed Aerial Vehicles: A Comprehensive Review

1
Department of Transportation, Logistics, & Finance, College of Business, North Dakota State University, P.O. Box 6050, Fargo, ND 58108-6050, USA
2
Upper Great Plains Transportation Institute, North Dakota State University, P.O. Box 6050, Fargo, ND 58108-6050, USA
*
Author to whom correspondence should be addressed.
Drones 2024, 8(6), 233; https://doi.org/10.3390/drones8060233
Submission received: 29 April 2024 / Revised: 24 May 2024 / Accepted: 28 May 2024 / Published: 30 May 2024
(This article belongs to the Special Issue Applications of UVs in Digital Photogrammetry and Image Processing)

Abstract

Using Uncrewed Aerial Vehicles (UAVs) to monitor the condition of nodal transportation assets—airports, seaports, heliports, vertiports, and cargo terminals—presents a transformative approach to traditional inspection methods. The focus on nodal assets rather than linear assets like roads, railways, bridges, and waterways fills a gap in addressing the dynamic challenges specific to transportation hubs. This study reviews scholarly literature on applying UAV-based remote sensing (URS) techniques to assess the condition of various transportation hubs, which are critical junctures in global logistics networks. Utilizing a systematic literature review framework, this study reviewed 486 publications from 2015 to 2023 to extract insights from the evolving discourse on URS applications. The findings suggest that these emerging methods resulted in substantial enhancements in time saving, cost efficiency, safety, and reliability. Specifically, this study presents evidence on how URS approaches can overcome the constraints of conventional inspection methods by enabling rapid, high-precision mapping and surveillance in complex and constrained environments. The findings highlight the role of UAVs in enhancing operational workflows and decision making in transportation planning and maintenance. By bridging the gap between traditional practices and innovative technology, this research offers significant implications for stakeholders in the field, advocating for a shift towards more dynamic, cost-effective, and precise asset management strategies.
Keywords: airport monitoring; seaport inspection; remote sensing; runway motoring; vertiport condition monitoring; unmanned aerial vehicles; terminal inspection airport monitoring; seaport inspection; remote sensing; runway motoring; vertiport condition monitoring; unmanned aerial vehicles; terminal inspection

Share and Cite

MDPI and ACS Style

Askarzadeh, T.; Bridgelall, R.; Tolliver, D. Monitoring Nodal Transportation Assets with Uncrewed Aerial Vehicles: A Comprehensive Review. Drones 2024, 8, 233. https://doi.org/10.3390/drones8060233

AMA Style

Askarzadeh T, Bridgelall R, Tolliver D. Monitoring Nodal Transportation Assets with Uncrewed Aerial Vehicles: A Comprehensive Review. Drones. 2024; 8(6):233. https://doi.org/10.3390/drones8060233

Chicago/Turabian Style

Askarzadeh, Taraneh, Raj Bridgelall, and Denver Tolliver. 2024. "Monitoring Nodal Transportation Assets with Uncrewed Aerial Vehicles: A Comprehensive Review" Drones 8, no. 6: 233. https://doi.org/10.3390/drones8060233

APA Style

Askarzadeh, T., Bridgelall, R., & Tolliver, D. (2024). Monitoring Nodal Transportation Assets with Uncrewed Aerial Vehicles: A Comprehensive Review. Drones, 8(6), 233. https://doi.org/10.3390/drones8060233

Article Metrics

Back to TopTop