Mining maritime traffic conflict trajectories from a massive AIS data

Author:

Lei Po-RueyORCID

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Hardware and Architecture,Human-Computer Interaction,Information Systems,Software

Reference57 articles.

1. AlRajie H, Ismail K (2016) Investigation of using microscopic traffic simulation tools to predict cyclist-vehicle-traffic conflicts at signalized intersections. In: Transportation research board 95th annual meeting, No. 16-4383

2. Arguedas VF, Pallotta G, Vespe M (2014) Automatic generation of geographical networks for maritime traffic surveillance. In: Proceedings of 17th international conference on information fusion (FUSION), pp. 1–8

3. Cazzanti L, Millefiori LM, Arcieri G (2015) A document-based data model for large scale computational maritime situational awareness. In: Proceedings of 2015 IEEE international conference on big data, pp 1350–1356

4. Chen Z, Shen HT, Zhou X (2011) Discovering popular routes from trajectories. In: Proceedings of 2011 IEEE 27th international conference on data engineering, pp 900–911

5. Chin HC, Quek ST (1997) Measurement of traffic conflicts. Saf Sci 26(3):169–185

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