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Article Navigation >  Journal of Traffic and Transportation Engineering  > 2018  >  18(4): 171-181
HE Zheng-wei, YANG Fan, LIU Li-rong. Ship safe navigation depth reference map based on AIS data[J]. Journal of Traffic and Transportation Engineering, 2018, 18(4): 171-181. doi: 10.19818/j.cnki.1671-1637.2018.04.018
Citation: HE Zheng-wei, YANG Fan, LIU Li-rong. Ship safe navigation depth reference map based on AIS data[J]. Journal of Traffic and Transportation Engineering, 2018, 18(4): 171-181. doi: 10.19818/j.cnki.1671-1637.2018.04.018
shu

Ship safe navigation depth reference map based on AIS data

doi: 10.19818/j.cnki.1671-1637.2018.04.018
  • 1.

    School of Navigation, Wuhan University of Technology, Wuhan 430063, Hubei, China

  • 2.

    Key Laboratory of Hubei Province for Inland Navigation Technology, Wuhan University of Technology, Wuhan 430063, Hubei, China

  • 3.

    National Engineering Research Center for Water Transportation Safety, Wuhan University of Technology, Wuhan 430063, Hubei, China

More Information
  • Author Bio:

    HE Zheng-wei(1977-), male, associate professor, PhD, wwwhzw@whut.edu.cn

    YANG Fan(1993-), male, graduate student, yfan@whut.edu.cn

  • Received Date: 2018-03-15
  • Publish Date: 2018-08-25
    Abstract
  • A new method of obtaining channel depth information was proposed by mining massive AIS data, which was used to construct ship safe navigation depth reference map. The historical and online AIS data were cleaned and mended by data preprocessing method, and ship motion trajectories were generated. The time, longitudes and latitudes of ship navigation areas were selected, and K-means clustering algorithm was used to cluster and analyze the draft data during ship navigation process, then the ship classifications in different safe navigation areas were obtained. The BP neural network model was applied to predict and complete the missing maximum ship draft information from the AIS data. The historical trajectory of the ship wassegmented, and when the time interval of the sub-trajectory was 10-20 min, the spline interpolation method was used to interpolate the missing data in the ship trajectories. The safe navigation depth area maps for similar types of ships were constructed by using convex hulls, and the maps with different draft types were combined to obtain a combined safe navigation depth map. The combined safe navigation depth map was superimposed on the channel chart to obtain a safe navigation depth reference map. Experimental result shows that when the clustering algorithm parameter is 4, four ship types are obtained by clustering. The corresponding maximum draft ranges of the ships are 0.1-4.8, 4.8-6.6, 6.6-10.0, and 10.0-13.0 m, and the corresponding least navigable ship drafts are 1.8, 2.4, 3.3, and 5.0 m, respectively. Thus, the maximum drafts of the ships are positively correlated with the least navigable drafts. The constructed ship safe navigation depth reference map covers 86% of the target channels in the electronic channel chart, and the overlap rate with the deep-water areas in the channel chart is 80%. Therefore, the constructed ship safe navigation depth reference map can reflect the true conditions of the channel depths, and meet the navigation needs of different types of ships.

     

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