Description: 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.

Benefits: The development and implementation of the Advanced Air Mobility (AAM) Guidance App will contribute to the modernization of current and future air mobility operations by enhancing the efficiency, safety, and scalability the National Airspace System (NAS) by providing safe corridors for AAM operations. NASA's Sky for All Vision for the future aviation system focuses on safety, affordability, and efficiency where eco-friendly airspace operations provide opportunities for everyone to work and play without concerns about an existing road or rail network through the use of millions of AAM aircraft. This ambitious vision requires innovative solutions to manage complex airspace operations. The AAM Guidance App will contribute to this vision through: 1. Provision of sophisticated algorithms and real-time data analytics to dynamically manage airspace, optimizing flight paths for efficiency and safety. 2. Incorporation of advanced predictive analytics and machine-learning models to anticipate potential conflicts or hazardous situations, offering re-routing recommendations for strategic and tactical decision-making to enhance overall airspace safety by preventing near misses and collisions. 3. Automation of ATC wildlife hazard communication functions to reduce human controllers' workloads, allowing them to focus on more complex decision-making processes. 4. Real-time communication of aircraft-wildlife collision risk through flight path data sharing amongst varied low-altitude airspace users. 5. Demonstrated commitment to hazard mitigation and safety to encourage public trust and acceptance of the future airspace system. The AAM Guidance App contributes to the Architect and Improve stage of the Sky for All vision (2025-2030) by developing the wildlife hazard management framework and models that will inform protocols, risk assessments, and tools to manage the substantial risk presented by aircraft-wildlife collisions.Aircraft-wildlife collisions cost the United States civil aviation industry 67,848 hours of aircraft downtime and $385 million in direct and other monetary losses. The cost of aircraft-wildlife collisions will likely increase significantly when more airborne vehicles are operating in low-altitude environments. In addition, accidents will result in fatalities and hull losses of AAM aircraft, cause damage to non-aircraft infrastructure, potentially result in legal liabilities, reduce consumer confidence, and slow the scalability of AAM operations. By leveraging predictive analytics, AI, and real-time data processing, the AAM Guidance App will enhance aviation safety, reduce operational risks, and optimize flight paths in increasingly crowded urban skies. The app will substantially contribute to safer skies and reduce aviation costs and will therefore be an essential planning tool for AAM. It is estimated the AAM market will reach $115 billion by 2035 and will employ 280,000 high-paying jobs. Safety assurance will be a key component of such a large market and the commercialization of the AAM Guidance App would be a substantial step in integrating info-centric technology into a future NAS focused on AAM. 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. The potential customer outreach strategy includes partnering with manufacturers, operators, and government agencies; participating in national and international aviation industry; market study to determine stakeholders' app requirements; advocating for regulations requiring wildlife hazard detection capabilities in all AAM aircraft; and adopting a subscription model for the app.