Abstract

Wind turbulence is a critical factor for the safety \nof Urban Air Mobility operations. In urban environments, \nbuildings and structures can generate irregular wind currents \nthat may compromise the stability of aircraft. This poses a \nhigh risk due to the potential severity of an accident in these \nareas. For these reasons, this paper introduces a risk-aware \npath planning solution for Urban Air Mobility applications, \nincluding Computational Fluid Dynamics (CFD) simulations \nthat predict atmospheric wind at urban environments. The \ngenerated algorithm provides safe and efficient routes, avoiding \nflight through regions with significant turbulence. A practical \ncase study was conducted to demonstrate the strong capabilities \nof the proposed solution

Keywords:
Turbulence Motion planning Computer science Path (computing) Meteorology Artificial intelligence Computer network Geography Robot

Metrics

4
Cited By
2.12
FWCI (Field Weighted Citation Impact)
16
Refs
0.79
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Robotic Path Planning Algorithms
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Robotics and Sensor-Based Localization
Physical Sciences →  Engineering →  Aerospace Engineering
Autonomous Vehicle Technology and Safety
Physical Sciences →  Engineering →  Automotive Engineering
© 2026 ScienceGate Book Chapters — All rights reserved.