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Updated FD information on intent will improve ATSP analysis of predicted traffic demand for capacity-constrained sectors, and will therefore reduce overly conservative use of traffic management constraints. Accurate user-provided updates on estimated departure time for satellite/spoke airports that feed high-density hub airports will improve the arrival-demand predictions used by the ATSP for arrival metering. This will reduce excess metering, due to uncertainty in arrival demand, and result in more equitable metering delays for both airborne and satellite departure flights that are within the metering horizon.
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User-ATSP exchange of state and intent data will improve the accuracy of, and consistency between, FMS and ground-based trajectory predictions. This will enhance the performance and compatibility of airborne and ground-based decision support tools. Downlink of aircraft state, intent, and atmospheric state will enhance ground-based predictions of both trajectories and winds/temperature aloft. Uplink of the latest winds aloft and trajectory constraints (e.g., dynamic crossing restrictions
and terminal area routes/speeds) will enhance FMS trajectory planning. Performance enhancements will reduce the rate of conflict false alarms and missed alerts and reduce corrective interruptions for conflict resolution and flow-rate conformance (e.g., metering).
4.3.0.3 Potential Benefits
. Increased overall efficiency of NAS operations and increased productivity of all stakeholders (FD, AOC, ATSP), due to improved quality, timeliness and accessibility of NAS information. Examples include: . Improved definition of user preferences . Reduction in flow constraints and more equitable distribution of flight deviations
for flow constraints
. Improved flight efficiency and reduction in ATSP workload, due to: . Decreased flight deviations due conflict probe false-alarm/missed-alert rates . Better planning and implementation of flow-rate conformance
4.3.1 Pre-Flight Planning: NAS-Constraint Considerations for Schedule/Flight Optimization
4.3.1.1 Problem
Inadequate accommodation of user preferences for schedule/flight planning, due to static and dynamic NAS constraints such as SUA status, bad weather and traffic management.
In the current ATM system, users have limited knowledge of NAS constraints when they conduct pre-flight planning. Consequently, their proposed flight plans often violate NAS constraints. In such cases, the ATSP has to modify the proposed flight plans to conform with NAS constraints; these flight plan modifications may not be user-preferred.
4.3.1.2 Solution
Using information on current and predicted NAS constraints, users collaborate with the ATSP during pre-flight planning to determine “optimal” (user-preferred) schedules and trajectory plans that satisfy current and predicted NAS constraints.
ATSP provides AOC with information on current and predicted states of the NAS, including information on bad weather, SUA status, airport/airspace delays and flow constraints. Using this information, the AOC optimizes fleet-wide schedules and trajectory plans, according to its business objectives. After verification that these trajectory plans do not violate any of the NAS constraints, the planned trajectories are approved by the ATSP. If a trajectory is denied, specific constraint violation information is provided by the ATSP to the AOC.
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本文链接地址：Concept Definition for Distributed Air/Ground Traffic Management (DAG-TM)(19)
