UAV collision risk assessment in terminal restricted area by heatmap representation is a study by Na Zhang, Hu Liu, and Kin Huat Low.
The persistent infiltration of unmanned aerial vehicles (UAVs) into civil aviation airports presents a significant challenge to airport safety management. These intrusions often lead to flight delays and, in severe cases, runway closures, disrupting normal airport operations. To assess the collision risk between unmanned and manned aircraft (U-M encounters), this paper develops a collision risk assessment platform capable of predicting the collision risk of U-M encounters within airport-restricted areas.
The platform is designed to dynamically generate 3D trajectories of U-M encounters and evaluate collision risk as relative distance changes along a probabilistic curve. Furthermore, a collision risk heatmap representation is introduced to forecast collision risk within airport-restricted areas. Using a case study of Changi Airport in Singapore, the collision risk assessment platform generates a heatmap depicting collision risk on the runway. The results illustrate the distribution of collision risk for separate and integrated runways.
Publication Date– 2023
UAV collision risk assessment in terminal restricted area by heatmap representation contains the following major sections:
- Nomenclature
- Introduction
- Literature Review
- Collision Risk Platform Design and Heatmap Representation
- Simulation Results
- Conclusion
There are no noted restrictions in this document. A link to the original location is included below.
Post Image- Aerial View of Changi Airport in Singapore (Image Credit: Adobe Stock by monticellllo)
