Abstract
Safety and security are top concerns in maritime navigation, particularly as maritime traffic continues to grow and as crew sizes are reduced. The Automatic Identification System (AIS) plays a key role in regard to these concerns. This system, whose objective is in part to identify and locate vessels, transmits location-related information from vessels to ground stations that are part of a so-called Vessel Traffic Service (VTS), thus enabling these to track the movements of the vessels. This paper presents techniques that improve the existing AIS by offering better and guaranteed tracking accuracies at lower communication costs. The techniques employ movement predictions that are shared between vessels and the VTS. Empirical studies with a prototype implementation and real vessel data demonstrate that the techniques are capable of significantly improving the AIS.
This is a preview of subscription content, log in via an institution to check access.
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Civilis, A., Jensen, C.S., Pakalnis, S.: Techniques for Efficient Road-Network-Based Tracking of Moving Objects. IEEE Transactions on Knowledge and Data Engineering 17(5), 698–712 (2005)
International Maritime Organization, Guidelines for the onboard operational use of shipborne Automatic Identification Systems (AIS), resolution A.917(22), 14 pages (2002)
Bertrand, F., Bouju, A., Claramunt, C., Devogele, T., Ray, C.: Web architectures for monitoring and visualizing mobile objects in maritime contexts. In: Proceedings of the 7th International Symposium on Web and Wireless Geographical Information Systems, pp. 94–105 (2007)
Saltenis, S., Jensen, C.S., Leutenegger, S.T., Lopez, M.A.: Indexing the positions of continuously moving objects. In: Proceedings of ACM SIGMOD International Conference on Management of Data, pp. 331–342 (2000)
Kollios, G., Gunopulos, D., Tsotras, V.J.: On indexing mobile objects. In: Proceedings of the 18th ACM Symposium on Principles of Database Systems, pp. 261–272 (1999)
Sistla, A.P., Wolfson, O., Chamberlain, S., Dao, S.: Modeling and querying moving objects. In: Proceedings of the International Conference on Data Engineering, pp. 422–432 (1997)
Ding, Z., Güting, R.H.: Managing moving objects on dynamic transportation networks. In: Proceedings of the International Conference on Scientific and Statistical Databases, pp. 287–296 (2004)
Güting, R.H., Böhlen, M.H., Erwig, M., Jensen, C.S., Lorentzos, N.A., Schneider, M., Vazirgiannis, M.: A foundation for representing and quering moving objects. ACM Trans. Database Syst. 25(1), 1–42 (2000)
Jensen, C.S., Lin, D., Ooi, B.C.: Query and update efficient B+-tree based indexing of moving objects. In: Proceedings of International conference on Very Large Data Bases, pp. 768–779 (2004)
Ashbrook, D., Starner, T.: Using GPS to learn significant locations and predict movement across multiple users. Personal and Ubiquitous Computing 7(5), 275–286 (2003)
Liaoa, L., Patterson, D.J., Foxa, D., Kautz, H.: Learning and inferring transportation routines. Artificial Intelligence 171(5-6), 311–331 (2007)
Lazaridis, I., Kriengkrai, P., Mehrotra, S.: Dynamic Queries over Mobile Objects. In: Proceedings of the 8th International Conference on Extending Database Technology, pp. 269–286 (2002)
Bernstein, D., Kornhauser, A.: An Introduction to map matching for personal navigation assistants. New Jersey TIDE Center, 17 pages (1996)
Yin, H., Wolfson, O.: Weight-based map matching method in moving objects databases. In: Proceedings of the International Conference on Statistical and Scientific Database Management, pp. 437–438 (2004)
Taylor, G., Blewitt, G.: Intelligent positioning: GIS-GPS Unification. 181 pages. Wiley, Chichester (2006)
Thériault, M., Claramunt, C., Seguin, A.-M., Villeneuve, P.: Temporal GIS and statistical modelling of personal lifelines. In: Ottawa, D.R., van Oosterom, P. (eds.) 9th Spatial Data Handling symposium, 9-12 July, pp. 433–450. Springer, Heidelberg (2002)
Redoutey, M., Scotty, E.: Tracking vessels with low cost and guaranteed high accuracy, Technical Report, Aalborg University and Naval Academy Research Institute, 52 pages (2008)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2008 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Redoutey, M., Scotti, E., Jensen, C., Ray, C., Claramunt, C. (2008). Efficient Vessel Tracking with Accuracy Guarantees. In: Bertolotto, M., Ray, C., Li, X. (eds) Web and Wireless Geographical Information Systems. W2GIS 2008. Lecture Notes in Computer Science, vol 5373. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-89903-7_13
Download citation
DOI: https://doi.org/10.1007/978-3-540-89903-7_13
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-89902-0
Online ISBN: 978-3-540-89903-7
eBook Packages: Computer ScienceComputer Science (R0)