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10 FAR 91.185
11 Williams, D.H. Time-Based Self-Spacing Techniques Using CDTI During Approach To Landing in a Terminal Area Vectoring Environment, NASA-TM 84601, April 2000
12 FAR 91.205 (d) (2)
13 Cargo Airline Association and FAA Safeflight 21 Office.  Phase 1 Operational Evaluation Final Report, Wilmington, Ohio. April 2000
14 North European ADS-B Network Update Program, NUP. http://www.nup.nu 
15 Peters, M. and Ballin, M. A Multi- Operator Simulation for Investigation of Distributed Air Traffic Management Concepts AIAA-2002-4596, Aug. 2002
16 Federal Aviation Administration, Terminal Arrival Area Design Criteria, FAA 8260.45A, July, 2000

 
 

 
 
 
 
 
 
 
 
 
 
 
 
 
 
Figure 2: Sequencer Model in Simulation Figure 2: Sequencer Model in Simulation

Requests  are delayed for the estimated operation time

Completed Operations

Aircraft leaves
 the system.

ACV is locked

Delay Model

New Requests
(Approach and departure)

Re-requests
 Merge into thearrival stream.

System is locked: Requests are delayed 

Traffic Generation

Sequence
Queue

Aircraft 
re-request 

Data
Collection/Reporting

ACV

ACV not  locked

ACV Clearance  granted

 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
Figure 3: Typical Arrivals (10 hr Aggregate) Figure 3: Typical Arrivals (10 hr Aggregate)
constrained, planned hold or automated path stretch vector assistance as others have suggested in the references above.   constrained, planned hold or automated path stretch vector assistance as others have suggested in the references above.  
Provision of more information to the returning aircraft than simply when the airport was expected to reopen was found to decrease queue lengths (and is useful in non-normal operational considerations).  By providing an estimate of a specific aircraft’s usage time (implying implicitly or perhaps explicitly sequence position as well), message traffic in the form of requests and responses was decreased dramatically, on the order of 75%.  Provision of more information to the returning aircraft than simply when the airport was expected to reopen was found to decrease queue lengths (and is useful in non-normal operational considerations).  By providing an estimate of a specific aircraft’s usage time (implying implicitly or perhaps explicitly sequence position as well), message traffic in the form of requests and responses was decreased dramatically, on the order of 75%. 
　
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