Optimizing moving sectors Optimizing moving sectors through trajectory adjustments via Grey-Wolf-Optimization to mitigate air traffic complexity in moving sectors.
Complexity Metrics for Moving Sectors Evaluation of complexity metrics for moving sectors calculated from simulated air traffic of the Singapore FIR.
Investigating Moving Sectors and Complexity Metrics in Japanese Airspace Moving sectors are investigated and assessed for the Japanese Airspace, using complexity metrics and real air traffic data.
debris hazard corridor for air/ space traffic management The growing use of spacecraft and drones is straining traditional airspace management and requiring new dynamic strategies, such as DDHC, to balance safety and minimize air traffic disruptions.
efficiency assessment in European ATM We used different types of Data Envelopment Analysis to evaluate and compare the performance of European ANSPs and to develop and suggest an appropriate benchmarking approach.
time-varying queuing network for ASEAN free-route airspace A time-varying queuing network was modeled and applied to ASEAN free-route airspace. The model shows a 45% reduction in potential conflicts.
introduction of moving sectors Moving sectors are introduced to improve airspace management by efficiently aligning traffic flows and grouping flights using realistic traffic patterns from the Singapore FIR.
Flow-centric air traffic control Creating traffic flows that minimize congestion (hot spots) and enable flow-centric operations is important for future air traffic control.
Free-route airspace concept in the ASEAN region The benefits and operational feasibility of the Free Route Airspace concept within the ASEAN airspace consisting of 12 Flight Information Regions (FIRs) are evaluated using fast-time simulation.
Integrated departure and surface traffic operations The proposed model-based framework for air traffic management optimizes arrival and departure flows, balancing capacity and demand. It includes time-varying queuing network models to reduce surface congestion and runway queuing.
combined optimization–simulation approach for passenger boarding Optimized boarding approach reduces time by 30%, minimizing virus risk compared to standard methods in various occupancy scenarios.
synthetic sensors for automated airport operations A prototype of a synthetic LiDAR sensor in a virtual environment of Singapore Changi Airport provides data to train machine learning models.
COVID-19 passenger operations The implementation of optimized passenger group sequencing under COVID-19 conditions has the potential to reduce process times by up to 59% and transmission risk by up to 85%.
integrated airport management Integrated ground/airside airport management optimizes connecting flights for passengers.
greener arrival management The implementation of an E-AMAN at Singapore Airspace results in an estimated fuel saving of 1,524 kg along with a reduction in carbon dioxide emissions of 48,000 kg.
efficient air traffic control Evaluation of productivity or efficiency of air navigation services requires comprehensive economic modeling.
connected aircraft cabin In the connected aircraft cabin, the use of connected sensors, devices, and passengers enables comprehensive status detection within the aircraft cabin.
dynamic flight management Dynamic in-flight adjustments of a trajectory lead to improved use of airspace and airport capacity.
