RouteMiner: Mining ship routes from a massive maritime trajectories

Yu Ting Wen*, Chien Hsiang Lai, Po Ruey Lei, Wen-Chih Peng

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

3 Scopus citations


Mining trajectory data has been attracting significant interest in the last years. By analyzing trajectory data, we are able to discover the movement behavior and location-aware knowledge, and then develop many interesting applications such as movement behavior discovery, location prediction, traffic analysis, and so on. However, trajectory data mining is a challenge task because of the trajectory data is available with uncertainty. Furthermore, discovering the valuable knowledge from maritime trajectory is made even more difficult due to the maritime area is a free moving space. Unlike the vehicles' movements are constrained by road networks, there is no such a sea route for ships to follow in maritime area. A ship's movement may not exactly repeat the same trajectory even the ship has the similar movement behavior with others. In this work, Route Miner system provides a framework of ship route mining for maritime traffic analysis. Given a set of ship trajectories in a maritime area, Route Miner explore the movement behavior from those massive trajectories in a free moving space. Then, ship routes are detected based on those behavioral pattern. Finally, the system generates a set of ships routes to provide operators a better understanding from ship trajectory data. We conduct the experiments on real maritime trajectories to show the effectiveness of proposed Route Miner. In the future, Route Miner is going to serve as the photo type for exploring the solutions of the challenges those related to anomaly detection and traffic management in the maritime domain.

Original languageEnglish
Title of host publicationProceedings - 2014 IEEE 15th International Conference on Mobile Data Management, IEEE MDM 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages4
ISBN (Electronic)9781479957057
StatePublished - 5 Oct 2014
Event15th IEEE International Conference on Mobile Data Management, IEEE MDM 2014 - Brisbane, Australia
Duration: 15 Jul 201418 Jul 2014

Publication series

NameProceedings - IEEE International Conference on Mobile Data Management
ISSN (Print)1551-6245


Conference15th IEEE International Conference on Mobile Data Management, IEEE MDM 2014


  • Maritime Trajectory
  • Ship Route Mining
  • Trajectory Data Mining

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