Ship Trajectories Pre-processing Based on AIS Data

Data derived from the Automatic Identification System (AIS) plays a key role in water traffic data mining. However, there are various errors regarding time and space. To improve availability, AIS data quality dimensions are presented for detecting errors of AIS tracks including physical integrity, spatial logical integrity and time accuracy. After systematic summary and analysis, algorithms for error pre-processing are proposed. Track comparison maps and traffic density maps for different types of ships are derived to verify applicability based on the AIS data from the Chinese Zhoushan Islands from January to February 2015. The results indicate that the algorithms can effectively improve the quality of AIS trajectories.

[1]  Thoralf Noack,et al.  Assessment of AIS Vessel Position Report Under the Aspect of Data Reliability , 2012 .

[2]  P. Silveira,et al.  Use of AIS Data to Characterise Marine Traffic Patterns and Ship Collision Risk off the Coast of Portugal , 2013, Journal of Navigation.

[3]  Nicholas J. Bailey.  Training, technology and AIS: looking beyond the box , 2005 .

[4]  Michele Fiorini,et al.  AIS Data Visualization for Maritime Spatial Planning (MSP) , 2016 .

[5]  Feng Lu,et al.  A quantitative approach for delineating principal fairways of ship passages through a strait , 2015 .

[6]  Stan Matwin,et al.  Improving Fishing Pattern Detection from Satellite AIS Using Data Mining and Machine Learning , 2016, PloS one.

[7]  Michele Vespe,et al.  Vessel Pattern Knowledge Discovery from AIS Data: A Framework for Anomaly Detection and Route Prediction , 2013, Entropy.

[8]  Zheping Shao,et al.  Maritime Anomaly Detection within Coastal Waters Based on Vessel Trajectory Clustering and Naïve Bayes Classifier , 2017, Journal of Navigation.

[9]  Michael L. Brodie.  Data quality in information systems , 1980, Inf. Manag..

[10]  Mark R. Morelande,et al.  Statistical analysis of motion patterns in AIS Data: Anomaly detection and motion prediction , 2008, 2008 11th International Conference on Information Fusion.

[11]  Fabio Mazzarella,et al.  Discovering vessel activities at sea using AIS data: Mapping of fishing footprints , 2014, 17th International Conference on Information Fusion (FUSION).

[12]  H. Ligteringen,et al.  Study on collision avoidance in busy waterways by using AIS data , 2010 .

[13]  Clément Iphar,et al.  Detection of false AIS messages for the improvement of maritime situational awareness , 2015, OCEANS 2015 - MTS/IEEE Washington.

[14]  Harm Greidanus,et al.  Completeness and Accuracy of a Wide-Area Maritime Situational Picture based on Automatic Ship Reporting Systems , 2016 .

[15]  van Iperen,et al.  Classifying Ship Encounters to Monitor Traffic Safety on the North Sea from AIS Data , 2015 .

[16]  Richard L. Shelmerdine,et al.  Teasing out the detail: How our understanding of marine AIS data can better inform industries, developments, and planning , 2015 .

[17]  K. Jaskólski.  Two-dimensional coordinate estimation for missing automatic identification system (AIS) signals based on the discrete Kalman filter algorithm and universal transverse mercator (UTM) projection , 2017 .

[18]  Weiming Zhang,et al.  Vessel Spatio-temporal Knowledge Discovery with AIS Trajectories Using Co-clustering , 2017 .

[19]  C. Guedes Soares,et al.  Detection and Analysis of the Main Routes of Voluntary Observing Ships in the North Atlantic , 2015 .

[20]  Xinping Yan,et al.  A novel method for restoring the trajectory of the inland waterway ship by using AIS data , 2015 .

[21]  Torgeir Moan,et al.  Estimating Navigation Patterns from AIS , 2009, Journal of Navigation.

[22]  D. J. Peters,et al.  Interpolation Between AIS Reports: Probabilistic Inferences Over Vessel Path Space , 2011, Journal of Navigation.

[23]  Andrea Copping,et al.  Maritime Route Delineation using AIS Data from the Atlantic Coast of the US , 2016, Journal of Navigation.

[24]  A. Harati-Mokhtari,et al.  Automatic Identification System (AIS): Data Reliability and Human Error Implications , 2007, Journal of Navigation.

[25]  Yigit C. Altan,et al.  Maritime Traffic Analysis of the Strait of Istanbul based on AIS data , 2017 .

[26]  Ming-Cheng Tsou,et al.  Discovering Knowledge from AIS Database for Application in VTS , 2010 .

[27]  A. Felski,et al.  Comprehensive Assessment of Automatic Identification System (AIS) Data Application to Anti-collision Manoeuvring , 2015 .

[28]  Jiming Chen,et al.  AIS data based identification of systematic collision risk for maritime intelligent transport system , 2013, 2013 IEEE International Conference on Communications (ICC).

[29]  Jakub Montewka,et al.  Assessing Grounding Frequency using Ship Traffic and Waterway Complexity , 2014, Journal of Navigation.

[30]  Zhiwei Xu,et al.  Mapping Global Shipping Density from AIS Data , 2016, Journal of Navigation.

[31]  Floris Goerlandt,et al.  An Advanced Method For Detecting Possible Near Miss Ship Collisions From AIS Data , 2016 .