Predicting Sector Capacity for TFM

نویسندگان

  • Lixia Song
  • Craig Wanke
  • Dan Greenbaum
چکیده

A novel approach to sector capacity prediction for airspace congestion management is presented, in which traffic complexity is captured with traffic flow patterns. Predictability of flow features are quantified and considered in describing the traffic flow patterns. Quantifying sector capacity as a function of traffic flow pattern provides a good approximation of the amount of traffic that can be effectively handled in the sector. The sector capacity for each traffic flow pattern is established based on observed system performance to avoid direct measurement of controller’s workload and predefining workload threshold. Such a “predictable” sector capacity metric also provides a basis for capturing weather impact on sector capacity.

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Report no

Acknowledgments The authors would like to thank Midori Tanino and Ved Sud of the FAA for their support and encouragement. Within the Volpe Center, we would like to thank Dick Bair, Rick Oiesen and Ken Howard for reviewing the report and their valuable comments and suggestions that improved its content. We also thank Mary Costello for editing this report. The Enhanced Traffic Management System (...

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تاریخ انتشار 2007