Is this project an undergraduate, graduate, or faculty project?
Undergraduate
Project Type
group
Campus
Daytona Beach
Authors' Class Standing
Shyan Khalil, Senior Logan San Miguel, Senior Toby Sopp, Senior
Lead Presenter's Name
Shyan Khalil
Lead Presenter's College
DB College of Aviation
Faculty Mentor Name
Ali Aljaroudi
Abstract
Runway incursions and ground collisions have been a continuing concern in aviation and often result from various reasons such as a lack of situational awareness, airport design, and engineering deficiencies. Incidents like this often pose major safety risks, making it of paramount importance to implement effective mitigation strategies. To help mitigate these risks, we have a proposed solution to combine data streams from existing systems and present them on the flight deck with predictive warning systems for flight crews. The PRISM (Predictive Radar for Incident & Surface Monitoring) software will enhance aircraft safety by combining data in real time from ASDE-X and SURF-A. The system will consist of five sensors around the aircraft. They will function as predictive radar. The sensors will be located on the nose of the aircraft, both wingtips, the tail, and underbelly. The system will predict the aircraft's path ahead and continuously update in 15 to 30 second intervals. If an imminent ground collision is detected, a visual and audible warning will be given on the flight deck to avoid the collision. This will aid in reducing the overall risk of aircraft ground collisions, which can be greatly reduced. Enhancing runway safety requires integrating real-time data streams into the flight deck. The PRISM software combines data from ASDE-X, SURF-A, and other systems to provide predictive warnings, reducing air traffic control workload and mitigating ground collision risks.
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
Enhancing Runway Safety through Integrated Management Systems and Design
Runway incursions and ground collisions have been a continuing concern in aviation and often result from various reasons such as a lack of situational awareness, airport design, and engineering deficiencies. Incidents like this often pose major safety risks, making it of paramount importance to implement effective mitigation strategies. To help mitigate these risks, we have a proposed solution to combine data streams from existing systems and present them on the flight deck with predictive warning systems for flight crews. The PRISM (Predictive Radar for Incident & Surface Monitoring) software will enhance aircraft safety by combining data in real time from ASDE-X and SURF-A. The system will consist of five sensors around the aircraft. They will function as predictive radar. The sensors will be located on the nose of the aircraft, both wingtips, the tail, and underbelly. The system will predict the aircraft's path ahead and continuously update in 15 to 30 second intervals. If an imminent ground collision is detected, a visual and audible warning will be given on the flight deck to avoid the collision. This will aid in reducing the overall risk of aircraft ground collisions, which can be greatly reduced. Enhancing runway safety requires integrating real-time data streams into the flight deck. The PRISM software combines data from ASDE-X, SURF-A, and other systems to provide predictive warnings, reducing air traffic control workload and mitigating ground collision risks.