Evaluation of Residual Airspace Resources Based on Civil Aviation Operation Big Data

Applications and Technologies of Big Data in the Aerospace Domain

“…Efficient airspace resource management can play an important role in reducing flight delays as well as in air route optimization, proper adjustments in flight schedules, layout planning, etc. Towards this direction, Shi et al [40] presented a residual airspace resources evaluation methodology for commercial aviation based on BD. Specifically, QAR BD was used with a specific focus on the exit of the terminal area and the key waypoints.…”

“…Air traffic flow analysis based on ADS-B BD [33], using air traffic and weather BD for improving strategic planning of airlines [34], trajectory prediction based on surveillance and other BD [35], using flown trajectories BD to calculate flight performance indices [36], and visualization of multiple trajectories, utilizing flight BD [37] Delay Prediction and Resource Allocation Flight delay prediction using multiple ML algorithms [38], flight delay prediction based on ADS-B and other BD [39], BD-based residual airspace resource evaluation methodology [40], and BD-enabled network architecture for AGVNs [41] Maintenance Optimization Optimized maintenance and resource allocation based on BD analytics [42] and improving predictive maintenance by utilizing BD from heterogeneous sources [43] Collecting Customer Insights/Increasing Customer Satisfaction BD-based analysis of customer engagement of a commercial airline [44], linear regression model for predicting flight-related web searches [45], and increasing customer satisfaction and improving aviation service quality by utilizing BD from different sources [46] Solutions for the Industry Improving source localization in industrial facilities by using UAV BD [48] and BD analytics for supply chain efficiency based on UAV BD [49] Solutions for Infrastructures Detection of electrical transmission towers based on BD from UAVs [50], BD-based methodology for optimizing 5G service provisioning from UAVs [51], optimized BD management leading to better disaster management [52], EMS based on BD analytics for minimizing operating costs of UAVs [53], and BD data management optimization in applications with UAV base stations [54] Supporting Military Operations BD analysis for characterizing if an aircraft is commercial or military [55], using ADS-B BD for real time classification of aircrafts [56], and improving knowledge management and analysis for testing and evaluation processes of the Joint Strike Fighter program using BD analysis [57] Increasing Air Force Safety BD-based architecture for improving military flight safety [58], improving military aircrafts' health management systems by utilizing heterogeneous BD …”