UAV-based studies in railway infrastructure monitoring

Authors

Peyman Aela
Hung-Lin Chi
Ali Fares
Tarek Zayed
Minkoo Kim

Document Type

Journal Article

Publication Date

2024

Subject Area

infrastructure - maintainance, literature review - literature review, mode - rail, planning - safety/accidents

Keywords

Unmanned Aerial Vehicles (UAV), railway infrastructure monitoring

Abstract

This review paper provides a comprehensive overview of Unmanned Aerial Vehicles (UAV) applications in railway infrastructure studies, with a specific focus on railway track infrastructure. The paper covers various aspects, including UAV types, flight performance, selection criteria, and regulations for railway environments. It explores sensor technologies used in drone-based inspections, such as imaging sensors, LiDAR, and infrared thermography. The application of UAVs in railway tracks, bridges, and tunnels is discussed in detail. The identified future prospects and challenges underscore the need for advancements in sensor technologies, the integration of AI and machine learning, and the importance of regularly updating regulatory frameworks. Overall, the integration of UAVs in railway infrastructure monitoring holds promise for enhancing safety, refining maintenance strategies, and improving operational efficiency in the railway industry.

Rights

Permission to publish the abstract has been given by Elsevier, copyright remains with them.

Comments

Automation in Construction Home Page:

http://www.sciencedirect.com/science/journal/09265805

Recommended Citation

Aela, P., Chi, H. L., Fares, A., Zayed, T., & Kim, M. (2024). UAV-based studies in railway infrastructure monitoring. Automation in Construction, 167, 105714.