Abstract
The development of a low-cost aircraft surveillance system based on Automatic Dependent Surveillance-Broadcast (ADS-B) has attracted significant attention and there are many applications. The ADS-B signals have many data about the aircraft and we are particularly interested in the idea of utilizing this data to develop flight predictions. In this paper, we present an ML-based system for predicting three-dimensional flight location coordinates by using route classification from ADS-B. The evaluation results show that our proposed system can predict three-dimensional flight coordinates, but the accuracy is not high because of the GPS fluctuations.
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Acknowledgment
The ADS-B data are supported by the Electronic Navigation Research Institute (ENRI) with which we have research collaboration. The authors would like to thank ENRI for their assistance.
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Matsuo, K., Ikeda, M., Barolli, L. (2022). A ML-Based System for Predicting Flight Coordinates Considering ADS-B GPS Data: Problems and System Improvement. In: Barolli, L., Kulla, E., Ikeda, M. (eds) Advances in Internet, Data & Web Technologies. EIDWT 2022. Lecture Notes on Data Engineering and Communications Technologies, vol 118. Springer, Cham. https://doi.org/10.1007/978-3-030-95903-6_20
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