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《Journal of Geo-Information Science》 2018-05
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Clustering Analysis and Anomaly Detection of Berthing Ships at Waigaoqiao Harbour District of Shanghai

ZHENG Hailin;HU Qinyou;YANG Chun;CHEN Jinhai;MEI Qiang;Merchant Marine College, Shanghai Maritime University;School of Port and Transportation Engineering, Zhejiang Ocean University;Navigation College, Jimei University;National-local Joint Engineering Research Center for Marine Navigation Aids Services;  
Mining of the spatial distribution of berthing ships is of great significance in the maritime supervision,port management and fleet management of a shipping company. However, almost all of the existing studies focused on the spatial clustering of ship berthing points to identify berths and anchorages, and only few articles focused on the analysis of berthing ships' features in ports and the detection of the anomalous berthing ships outside the berths and anchorages. Therefore, it is necessary to use the massive automatic identification system(AIS) data to acquire the ship berthing features, which is also feasible due to general equipment of AIS on ships.By setting the threshold value of berthing speed and Variation of the berthing position according to the sea conditions, the model for determining the berthing ships could be established. Filtering by port area and ship type, we could obtain the container ship berthing records at Waigaoqiao Harbour District from January to November2016. With the purpose of obtaining density distribution of ship berthing points at Waigaoqiao Harbour District,density-based spatial clustering of applications with noise(DBSCAN) algorithm is adopted. The neighborhood radius( ε) and density(Min Pts) could be set according to the cluster center density and quantity of clusters.Density clustering is carried out on all berthing ships, and the clustering result is presented in figure with clusters and noises. Compared with the distribution diagram of berths and anchorages at Waigaoqiao Harbour District, a list of suspicious berthing ships is generated. By analyzing historical trajectories of ships in the list, we could make ships' real berthing records clear, and identify anomalous berthing ships at Waigaoqiao Harbour District. The study has found that the abnormal berthing ships at Waigaoqiao Harbour District were located at the Nangang Channel between Yuanyuansha Anchorage and Wusongkou Anchorage or Nangang Channel near Jiangya Nansha Anchorage. What's more, the changes of ships' position before and after berthing position small, while ships' speed before and after berthing position reduced sharply. Therefore, we could speculate that it was ship emergency failure that leads to ships' anomalous berthing. According to the ship maritime mobile service identity(MMSI),maritime safety administration(MSA) can quickly locate the shipping company related to the ship so as to strengthen the onshore ship safety management. Anomalous ships' berthing time and position help to record the failure duration and location, which can supply the important evidence for fleet management of shipping company.
【Fund】: 上海市科学技术委员会项目(15590501600);; 国家自然科学基金项目(41501490);; 中国科学院重点部署项目(ZDRW-ZS-2016-6-3);; 福建省教育厅基金项目(B16095)~~
【CateGory Index】: TP311.13;U675.79;U698
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