Enhanced jet performance model for high precision 4D flight path prediction

نویسندگان

  • Michael Kaiser
  • Michael Schultz
  • Hartmut Fricke
چکیده

High precision 4D flight path predictions are crucial for reliably optimizing the complex ATM/ATC system. The presented enhanced jet performance model provides a significant improvement over currently applied trajectory prediction methods. The use of purely analytical methods allows a high level of adoption of the real physical aircraft environment. This paper presents the model and applies the findings to predict fuel flow characteristics as fundamental parameter for trajectory planning. Further the model was implemented in an agent-based simulation to consider stochastic atmospheric boundary conditions for flight path optimization. Thus, our presented research is a preliminary development considering the targets of the UTOPIA project within the SESAR Long-term and Innovative Research.

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تاریخ انتشار 2011