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Ship route extraction and trajectory classification method based on AIS data

A trajectory classification and trajectory technology, applied in relational databases, database models, geographic information databases, etc., can solve the problem of route interference calculation costs, etc., achieve the effect of small calculation costs and overcome the impact

Pending Publication Date: 2022-06-21
HANGZHOU DIANZI UNIV
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Problems solved by technology

[0003] At present, the calculation of the existing routes entering the port is mainly obtained by clustering the complete trajectories of all ships calling at the port. The routes obtained by this method are easily disturbed by abnormal trajectories and the calculation cost is relatively high.

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  • Ship route extraction and trajectory classification method based on AIS data
  • Ship route extraction and trajectory classification method based on AIS data
  • Ship route extraction and trajectory classification method based on AIS data

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Embodiment Construction

[0055] In order to make the purposes, technical solutions and advantages of the embodiments of the present invention more clear, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention. Obviously, the described embodiments of the present invention are Part of the embodiments of the present invention, but not all of the embodiments, based on the embodiments of the present invention, and all other embodiments obtained by those of ordinary skill in the art without creative work, belong to the protection of the present invention. scope.

[0056] The AIS data set used in the embodiment of the present invention comes from the historical AIS data provided by the DMA (Danish Maritime Authority). The historical AIS data provided by the DMA is provided in the "*.csv" format and contains 26 fields, including ship identification information (such as MMSI), ...

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Abstract

The invention discloses a ship route extraction and trajectory classification method based on AIS data. The method comprises the steps of AIS data preprocessing, sea area route extraction and trajectory classification. Historical AIS data in a target sea area is processed and analyzed, and an effective driving track of a certain type of ships is obtained. And analyzing route information contained in all the effective tracks, obtaining road sign points of the route through a method of clustering DBSCAN on different fields in two steps, describing the distance between the road sign points by using a self-defined weighted distance function, and connecting the adjacent road sign points to obtain the route information. And finally, calculating a Directed Hausdorff distance by using the obtained route and the ship trajectory to realize trajectory classification work. According to the method, the efficiency of route calculation is improved, meanwhile, good robustness is achieved, and particularly, the method is more excellent on a large-scale AIS data set.

Description

technical field [0001] The invention relates to the field of shipping data processing, in particular to a ship route extraction and track classification method based on AIS (Automatic Identification System) data. Background technique [0002] As the proportion of shipping in the logistics system continues to increase, the safety demand for maritime transportation continues to grow. For this reason, the International Maritime Organization proposes to install the AIS system. AIS data includes real-time dynamic and static information of ships, which can well describe the operating status of ships. For a shipping port, there are multiple routes entering from different directions, and different routes have different hydrological conditions and different characteristics. If the port and shipping agency can accurately judge the route of the ship, they can better provide better customized services for the ship (such as more accurate arrival time prediction, trajectory anomaly detec...

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Application Information

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IPC IPC(8): G06F16/28G06F16/29G06K9/62
CPCG06F16/285G06F16/29G06F18/22
Inventor 刘春山徐旭航李姜辉苗永春
Owner HANGZHOU DIANZI UNIV
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