Seamless Weather Data Integration in Trajectory-Based Operations Utilizing Geospatial Information

In this study, a 4D trajectory weather (4DT-Wx) prototype system was developed and evaluated for effective weather information integration in trajectory-based operation (TBO) environments. The system has two key distinguishing features: multi-model-based trajectory services and buffer zone informati...

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Veröffentlicht in:Remote sensing (Basel, Switzerland) Jg. 16; H. 19; S. 3573
Hauptverfasser: Kim, Sang-Il, Jin, Donghyun, Kim, Jiyeon, Ahn, Do-Seob, Han, Kyung-Soo
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Basel MDPI AG 01.10.2024
Schlagworte:
4DT
Accuracy
Air temperature
Air traffic control
Air traffic management
Aircraft
Algorithms
Application programming interface
ATM
Aviation
Buffer zones
Configuration management
Data analysis
Data assimilation
Data integration
Data processing
Decision making
Distributed processing
Efficiency
Environmental impact
Flight safety
Geospatial data
Information processing
Information systems
integration
Meteorological data
Methods
Numerical weather forecasting
Optimization techniques
Parallel processing
Performance evaluation
Planning
Safety management
Surveillance
TBO
Weather
Weather forecasting
South Korea
ISSN:2072-4292, 2072-4292
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Zusammenfassung:In this study, a 4D trajectory weather (4DT-Wx) prototype system was developed and evaluated for effective weather information integration in trajectory-based operation (TBO) environments. The system has two key distinguishing features: multi-model-based trajectory services and buffer zone information provision. We constructed a distributed processing system using Apache Spark, enabling the efficient processing of large-scale weather data. The performance evaluation demonstrated excellent scalability and efficiency in processing large-scale data. An analysis of the buffer configurations highlighted that buffer zone information is valuable in decision-making processes and has the potential to enhance the system performance. The system’s practical applicability is presented through visualizations of the extracted weather information. This system is expected to enhance aviation safety and operational efficiency, providing a foundation for addressing increasingly complex weather conditions and flight scenarios in the future. The approach presented in this study marks a significant step toward effective TBO implementation and the advancement of future air traffic management. The evaluation of the 4DT-Wx system analyzed the accuracy of weather data processing and the performance of distributed processing, finding that the temperature (T) estimation had the highest accuracy, and that the parallel processing using Apache Spark was most effectively modeled by Ahmed et al.’s model. The findings suggest the potential for further optimization in integrating various weather models and developing algorithms to enhance their utilization.
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ISSN:2072-4292
2072-4292
DOI:10.3390/rs16193573