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Journal of Combinatorial Optimization

, Volume 37, Issue 1, pp 40–61 | Cite as

A scheduling algorithm for medical emergency rescue aircraft trajectory based on hybrid estimation and intent inference

  • Bin Hu
  • Fang PanEmail author
  • Lei Wang
Article
First Online:
  • 136 Downloads

Abstract

This paper studies the accurate prediction of the trajectory of aircraft that is in low-lever emergency medical rescue so as to achieve effective and safe real-time scheduling. The paper acquires real-time flight state (position, speed and heading) by taking advantage of the information derived from Automatic Dependence Surveillance-broadcasting and improved A\(^{*}\) algorithm. Then Interacting Multiple Model is introduced to predict the flight state and model of the aircraft at next point-in-time based on the current state information. Then combining the result and flight plan information together, short-term flight intent is inferred. Integrated with Interacting Multiple Model algorithm and improved Intent Inference algorithm, a trajectory prediction algorithm is put forward based on the flight state and intent inference, and finally a real time scheduling plan is coming into being. Case simulation shows the result of this algorithm is more accurate than using intent inference algorithm alone. It helps to guarantee the safety of the medical rescue aircraft and improve the efficiency of the emergency rescue.

Keywords

Low-level medical emergency rescue Trajectory forecast Hybrid estimation algorithm Intent inference 
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Notes

Acknowledgements

This paper is partially supported by National Natural Science Foundation of China (No. 61573181), Study on Adaptive Evolution Mechanism of Complicated Low-level Flight Situation and Diversified Coordination Monitor Methodology.

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Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2017

Authors and Affiliations

  1. 1.College of Civil AviationNanjing University of Aeronautics and AstronauticsNanjingChina
  2. 2.School of Healthy Economics and ManagementNanjing University of Chinese MedicineNanjingChina

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