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Y. Sheng et al.
4 Ontological Models of 4D Trajectory and Thunderstorm
4.1 Ontological Model of 4D Trajectories
Four-dimensional track management controls flights as much as possible in accordance with the ideal state of airspace users, such that the air traffic flow can be
optimized. In the early planning phase of operations, 4D tracks will be shared
between airspace users, air navigation service providers, and airport operators.
Subsequent improvements will be made considering a number of constraints on
airspace and airport capacity.
The project not only provides synchronized track data, but also develops new
tools to improve the availability of accurate and uniform aviation and weather
information. In this way, any unexpected situation that can cause delays and
requires adjustments to scheduled flight operations which can be monitored in
advance. Four-dimensional track management allows aircraft to choose direct
flights to reduce fuel consumption, carbon dioxide emissions, and costs. In addition, controllers have access to more accurate information for planning operations, smoother management of air traffic, and can handle the expected growth
of traffic flow in the next few years.
The ontology model of 4D trajectories is shown in Fig. 3. This ontology is
developed according to the trajectory model of FIXM, consisting of necessary
elements for describing 4D trajectories.
Fig. 3. Four-dimensional trajectory ontology
Y. Sheng et al.
4 Ontological Models of 4D Trajectory and Thunderstorm
4.1 Ontological Model of 4D Trajectories
Four-dimensional track management controls flights as much as possible in accordance with the ideal state of airspace users, such that the air traffic flow can be
optimized. In the early planning phase of operations, 4D tracks will be shared
between airspace users, air navigation service providers, and airport operators.
Subsequent improvements will be made considering a number of constraints on
airspace and airport capacity.
The project not only provides synchronized track data, but also develops new
tools to improve the availability of accurate and uniform aviation and weather
information. In this way, any unexpected situation that can cause delays and
requires adjustments to scheduled flight operations which can be monitored in
advance. Four-dimensional track management allows aircraft to choose direct
flights to reduce fuel consumption, carbon dioxide emissions, and costs. In addition, controllers have access to more accurate information for planning operations, smoother management of air traffic, and can handle the expected growth
of traffic flow in the next few years.
The ontology model of 4D trajectories is shown in Fig. 3. This ontology is
developed according to the trajectory model of FIXM, consisting of necessary
elements for describing 4D trajectories.
Fig. 3. Four-dimensional trajectory ontology