Fault-Aware Flight Path Assessment for eVTOLs using an Integrated Air Traffic Management Environment
Is this project an undergraduate, graduate, or faculty project?
Undergraduate
Project Type
group
Campus
Daytona Beach
Authors' Class Standing
John Clardy, Senior
Lead Presenter's Name
John Clardy
Lead Presenter's College
DB College of Engineering
Faculty Mentor Name
Dr. Hever Moncayo
Abstract
This study introduces a simulation framework to evaluate Fault-Aware Flight Paths for electric vertical takeoff and landing (eVTOL) aircraft within an integrated air traffic management environment. By combining an air traffic management system with intelligent trajectory generation frameworks, the approach assesses the development of safe, adaptive, and fault-aware flight paths that account for traffic interactions, airspace features, and specific operational constraints. Real-world historical airspace traffic data was used to accurately simulate complex and congested operational conditions. The main goal is to evaluate the operational impact of integrating eVTOL operations into the National Airspace System, with a focus on conflict detection, loss-of-separation events, and corridor feasibility. The results aim to serve as a baseline for validating fault-aware eVTOL flight paths and supporting safety within the National Airspace System.
Did this research project receive funding support (Spark, SURF, Research Abroad, Student Internal Grants, Collaborative, Climbing, or Ignite Grants) from the Office of Undergraduate Research?
No
Included in
Aviation Safety and Security Commons, Multi-Vehicle Systems and Air Traffic Control Commons, Navigation, Guidance, Control and Dynamics Commons
Fault-Aware Flight Path Assessment for eVTOLs using an Integrated Air Traffic Management Environment
This study introduces a simulation framework to evaluate Fault-Aware Flight Paths for electric vertical takeoff and landing (eVTOL) aircraft within an integrated air traffic management environment. By combining an air traffic management system with intelligent trajectory generation frameworks, the approach assesses the development of safe, adaptive, and fault-aware flight paths that account for traffic interactions, airspace features, and specific operational constraints. Real-world historical airspace traffic data was used to accurately simulate complex and congested operational conditions. The main goal is to evaluate the operational impact of integrating eVTOL operations into the National Airspace System, with a focus on conflict detection, loss-of-separation events, and corridor feasibility. The results aim to serve as a baseline for validating fault-aware eVTOL flight paths and supporting safety within the National Airspace System.