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Applications of unmanned aerial vehicle (UAV) in road safety, traffic and highway infrastructure management: Recent advances and challenges

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  • Outay, Fatma
  • Mengash, Hanan Abdullah
  • Adnan, Muhammad

Abstract

For next-generation smart cities, small UAVs (also known as drones) are vital to incorporate in airspace for advancing the transportation systems. This paper presents a review of recent developments in relation to the application of UAVs in three major domains of transportation, namely; road safety, traffic monitoring and highway infrastructure management. Advances in computer vision algorithms to extract key features from UAV acquired videos and images are discussed along with the discussion on improvements made in traffic flow analysis methods, risk assessment and assistance in accident investigation and damage assessments for bridges and pavements. Additionally, barriers associated with the wide-scale deployment of UAVs technology are identified and countermeasures to overcome these barriers are discussed, along with their implications.

Suggested Citation

  • Outay, Fatma & Mengash, Hanan Abdullah & Adnan, Muhammad, 2020. "Applications of unmanned aerial vehicle (UAV) in road safety, traffic and highway infrastructure management: Recent advances and challenges," Transportation Research Part A: Policy and Practice, Elsevier, vol. 141(C), pages 116-129.
    • Handle: RePEc:eee:transa:v:141:y:2020:i:c:p:116-129
    DOI: 10.1016/j.tra.2020.09.018
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    1. Alexandros Nikitas & Kalliopi Michalakopoulou & Eric Tchouamou Njoya & Dimitris Karampatzakis, 2020. "Artificial Intelligence, Transport and the Smart City: Definitions and Dimensions of a New Mobility Era," Sustainability, MDPI, vol. 12(7), pages 1-19, April.
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    5. Krzysztof Bogusławski & Mateusz Gil & Jan Nasur & Krzysztof Wróbel, 2022. "Implications of autonomous shipping for maritime education and training: the cadet’s perspective," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 24(2), pages 327-343, June.
    6. Wang, Huiwen & Yi, Wen & Zhen, Lu, 2024. "Optimal policy for scheduling automated guided vehicles in large-scale intelligent transportation systems," Transportation Research Part A: Policy and Practice, Elsevier, vol. 179(C).
    7. Meng, Zhu & Zhu, Ning & Zhang, Guowei & Yang, Yuance & Liu, Zhaocai & Ke, Ginger Y., 2024. "Data-driven drone pre-positioning for traffic accident rapid assessment," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 183(C).
    8. Cui, Shaohua & Yang, Ying & Gao, Kun & Cui, Heqi & Najafi, Arsalan, 2024. "Integration of UAVs with public transit for delivery: Quantifying system benefits and policy implications," Transportation Research Part A: Policy and Practice, Elsevier, vol. 183(C).
    9. Shuya Zong & Sikai Chen & Majed Alinizzi & Samuel Labi, 2022. "Leveraging UAV Capabilities for Vehicle Tracking and Collision Risk Assessment at Road Intersections," Sustainability, MDPI, vol. 14(7), pages 1-20, March.
    10. James Campbell & Ángel Corberán & Isaac Plana & José M. Sanchis & Paula Segura, 2022. "Polyhedral analysis and a new algorithm for the length constrained K–drones rural postman problem," Computational Optimization and Applications, Springer, vol. 83(1), pages 67-109, September.
    11. Sikai Chen & Shuya Zong & Tiantian Chen & Zilin Huang & Yanshen Chen & Samuel Labi, 2023. "A Taxonomy for Autonomous Vehicles Considering Ambient Road Infrastructure," Sustainability, MDPI, vol. 15(14), pages 1-27, July.
    12. ElSayed, Mo & Foda, Ahmed & Mohamed, Moataz, 2024. "The impact of civil airspace policies on the viability of adopting autonomous unmanned aerial vehicles in last-mile applications," Transport Policy, Elsevier, vol. 145(C), pages 37-54.

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