Avian Collision Mitigation: A Predictive Advanced Air Mobility Guidance App for Enhanced Aviation Safety

The Advanced Air Mobility (AAM) Guidance App will enhance the safety of AAM aircraft through prevention of collisions with airborne wildlife by leveraging real-time data collection and analytics used to predict the occurrence and movement of critical species. The app will provide the safest pathways for aircraft by minimizing the probability and consequence of collision with airborne wildlife. The proposed AAM Guidance App integrates data inputs into an aircraft-wildlife collision risk prediction provided to users through an app interface. The app’s core will use sophisticated algorithms that incorporate predictive analytics. Funding will be used to conduct research focused on three key areas of the subtopic scope description: Human-autonomy teaming, dynamic route planning and scheduling, and integration with legacy operations. The Phase I objectives include: identify data inputs; review sensor technologies; theorize predictive models for animal movement, complete user needs assessment, identify user-specific communication tools; explore risk assessment components; and develop the commercialization plan for Phase II development and testing. The AAM Guidance App Phase I project will address critical gaps in the development of airspace Concepts of Operations by providing a Phase II-ready solution that will facilitate human-autonomy teaming and that will provide ATM technology. The Phase I deliverable is a report that provides a roadmap for Phase II delivery of the AAM Guidance App. The AAM Guidance App will provide economic benefits such as reduced accident risk, optimized flight paths and better traffic management, and increased scalability to potential customers that include AAM aircraft manufacturers, AAM aircraft operators, Air Traffic Control authorities, federal, state, and local governments, and airport and vertiport operators.