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An AIS-Based Multiple Trajectory Prediction Approach for Collision Avoidance in Future Vessels

Permanent lenke
https://hdl.handle.net/10037/18359
DOI
https://doi.org/10.1115/OMAE2019-95963
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article.pdf (1.003Mb)
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Dato
2019-11-11
Type
Peer reviewed
Bok
Chapter

Forfatter
Murray, Brian; Perera, Lokukaluge Prasad
Sammendrag
This study presents a method to predict the future trajectory of a target vessel using historical AIS data. The purpose of such a prediction is to aid in collision avoidance in future vessels. The method presented in this study extracts all trajectories present in an initial cluster centered about a vessel position. Features for each trajectory are then generated using Principle Component Analysis and used in clustering via unsupervised Gaussian mixture modeling. Each resultant cluster represents a possible future route the vessel may follow. A trajectory prediction is then conducted with respect to each cluster of trajectories discovered. This results in a prediction of multiple possible trajectories. The results indicate that the algorithm is effective in clustering the trajectories, where at least one cluster corresponds to the true trajectory of the vessel. The resultant predicted trajectories are also found to be reasonably accurate.
Forlag
American Society of Mechanical Engineers (ASME)
Sitering
Murray, B.; Perera, L.P. (2019) An AIS-Based Multiple Trajectory Prediction Approach for Collision Avoidance in Future Vessels In: Proceedings of ASME 2019 ,8th International Conference on Ocean, Offshore and Arctic Engineering, vol. 7B: Ocean Engineering, . https://doi.org/10.1115/OMAE2019-95963
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  • Artikler, rapporter og annet (teknologi og sikkerhet) [361]
Copyright © 2019 by ASME

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