There are 6 results.


AAA4ATM - Analysis of Available Airspace for ATM

The goal of the project is the development of an analysis/forecast system for the prediction of available airspace within the next 6 hours based on the current distribution of convective weather phenomena that are obstructive to air traffic. To solve this issue, computer vision algorithms for object detection, feature extraction, tracking and extrapolation, as well as down/upsampling strategies in meteorological image processing and forecaster intervention are used.


DIBMETSAT - Digital Image Processing Supported Meteorology Services for Air Traffic Management

Air traffic controllers face the challenge of dealing with a flood of information. An essential source of information here are images and measurements of current weather conditions. Providing automated, higher-level messages from weather radar and satellite images, combining them and generating new measurements for an improved visibility estimation should provide substantial support.


FUSEMET - Multi-Sensor Fusion for Aviation Meteorology Services

The project aim - "big picture of airport weather” - is based on the integration of all sensor data available at an airport with the results of image processing modules in the collateral projects DIBMETSAT and DIBMETSAT-3D. With the help of defined use-cases, both the development and implementation of multi-sensor fusion concepts and the analysis of available data time series are implemented. Both cases achieve added value through the combination and integration of multiple types of information compared to single site measurements.


FUSEMET-APP - AApplication of Multi-Sensor Fusion for Automatic Observation of Aviation Meteorology

FUSEMET APP will focus on optimising present automated weather observation modules, developing new observation technologies, as well as their adaptation to ATM specifications and procedures. The automated aviation weather observation provides significant support to observers in challenging weather conditions and, furthermore, serves as an autonomous weather observation system for low air traffic during the 7x24 operation.


MET4LOWW - MET Potentials for Arrival and Departure Management

The objective of the MET4LOWW project is to derive ATM procedures for integrating partly probabilistic wind and weather information into arrival and departure management. Wind-fields and weather-objects are implemented in University of Salzburg’s ATM/ATC simulator, and associated avoidance and adaption strategies are developed. Various traffic and weather scenarios are analysed using fast-time-simulation and evaluated based on ATM performance figures for safety, capacity, cost-efficiency and environment. Based on these results the optimal ATM-procedures and meteorological information will be derived, e.g. time-based separation. The resulting potential improvements for arrival and departure management are validated by real-time simulation.


PROB4LOWW - Probabilistic MET Information for Capacity Optimisation in Arrival and Departure Management

In the proposed exploratory project, a concept for the integration of probabilistic meteorological information in arrival and departure management for capacity optimisation shall be devised. Flight planning and operation guidelines as well as detailed simulations of air traffic will be used to obtained a cost-loss ratio, which provides the basis to determine the optimal probability thresholds required to set arrival and departure rates at the occurrence of individual weather events.