Initial Integration of a Conflict Probabilities Service for Upper Class E Traffic Management
Publication Date
1-1-2024
Document Type
Conference Proceeding
Publication Title
AIAA/IEEE Digital Avionics Systems Conference - Proceedings
DOI
10.1109/DASC62030.2024.10748813
Abstract
This paper outlines the development and integration of a conflict probability calculation-based service designed for Upper Class E Airspace operations. A key aspect of this effort is the integration of the conflict probability calculation algorithm into a simulated situational awareness client application. This application serves as a tool for flight operators to submit operations for Upper Class E Airspace within a simulated environment. The focus is on validating the effectiveness of the service through simulated intentional conflicting scenarios. The paper delves into the practicalities of integrating the conflict probability service into the user interface of the simulated situational awareness client application. This integration aims to enhance the decision-making capabilities of ETM operators within the simulated environment. The experiments and observations conducted in this simulated facility provide insights into the operational effectiveness of the proposed approach. In conclusion, this paper emphasizes the development, integration, and simulation-based validation of a conflict probability calculation service for Upper Class E Airspace. The findings underscore the potential impact of our approach on decision-making within a simulated setting, contributing to the understanding of its practical applications in operational scenarios.
Keywords
Air traffic Management, Airspace Operations, Conflict Prediction Algorithm, Conflict probability service, ETM, Upper Class E traffic management
Department
Aviation and Technology
Recommended Citation
Abhinay Indrabahadur Tiwari, Jeffrey Homola, Faisal Omar, and Min Xue. "Initial Integration of a Conflict Probabilities Service for Upper Class E Traffic Management" AIAA/IEEE Digital Avionics Systems Conference - Proceedings (2024). https://doi.org/10.1109/DASC62030.2024.10748813