A novel method for restoring the trajectory of the inland waterway ship by using AIS data

Sang, Lingzhi; Wall, Alan; Mao, Zhe; Yan, Xinping; Wang, Jin

doi:10.1016/j.oceaneng.2015.10.021

Cited by 104 publications

(53 citation statements)

References 27 publications

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“…To tackle the problem of trajectory gaps, several studies have focused on finding an optimal interpolation algorithm for movement data only in recent years, either in the maritime domain (Hu et al 2014, Sang et al 2015, Nguyen et al 2015, Du et al 2017 et al 2017) or not (Long 2015). Nguyen et al (2015) proposed a new method which includes linear interpolation and Cubic Hermit interpolation along with a mechanism to overcome problems of both approaches in order to fill in the gaps of missing AIS data.…”

Section: Lagrange Interpolationmentioning

confidence: 99%

A distributed framework for extracting maritime traffic patterns

Kontopoulos

Varlamis

Tserpes

2020

International Journal of Geographical Information Science

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All the modern surveillance systems take advantage of the Automatic Identification System (AIS), a compulsory tracking system for many types of vessels. Ships that carry AIS transponders on board transmit their position and status in order to alert nearby vessels and ground stations, but this information can well be used to identify events of interest and support decision making. The detection of anomalies (i.e. unexpected sailing behavior) in vessels' trajectories is such an event, which is of utmost importance. Approaches for detecting such anomalies vary from extracting normality models to searching for individual cases, such as AIS switch-off or collision avoidance maneuvers. The current research work follows the former method; it employs sparse historic AIS data and polynomial interpolation in order to extract shipping lanes. It modifies the DB-Scan clustering algorithm in order to achieve more coherent trajectory clusters, which are then composed to create the shipping lanes. The proposed approach implements distributed processing on Apache Spark in order to improve processing speed and scalability and is evaluated using real-world AIS data collected from terrestrial AIS receivers. The evaluation shows that the biggest part (i.e. more than 90%) of any future vessel trajectory falls within the extracted shipping lanes.

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Section: Lagrange Interpolationmentioning

confidence: 99%

A distributed framework for extracting maritime traffic patterns

Kontopoulos

Varlamis

Tserpes

2020

International Journal of Geographical Information Science

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“…Wang et al proposed a modified clustering algorithm to extract and analyze ship routes (Wang Gao and Yang 2017). To solve the problem of missing AIS data, Sang et al proposed a curve fitting method to restore the vessel trajectory (Sang et al 2015). Although there are some problems in AIS data, such as noise and absence, it can still generate the ship's historical route with a satisfactory accuracy.…”

Section: Ais Data In Maritime Transportationmentioning

confidence: 99%

Ship Route Planning Using Historical Trajectories Derived from AIS Data

He¹,

Zhang²,

Zhang³

et al. 2019

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Ship route planning is one of the key issues in enhancing traffic safety and efficiency. Many route planning methods have been developed, but most of them are based on the information from charts. This paper proposes a method to generate shipping routes based on historical ship tracks. The ship's historical route information was obtained by processing the AIS data. From which the ship turning point was extracted and clustered as nodes. The ant colony algorithm was used to generate the optimize route. The ship AIS data of the Three Gorges dam area was selected as a case study. The ships' optimized route was generated, and further compared with the actual ship's navigation trajectory. The results indicate that there is space of improvement for some of the trajectories, especially near the turning areas.

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“…Zhang et al (2015Zhang et al ( , 2016 developed an approach for detecting potential near misses based on AIS data and also explored the limits of such approach (Last et al 2015). Sang et al (2015) considered inland waterway ship trajectories based on the AIS collected data in order to verify manoeuvring characteristics and ship-handling behaviours. Mou et al (2010) presented linear regression model of collision risks in busy waterways using AIS data in Port of Rotterdam in order to identify the correlation of Closest Point of Approach (CPA) with ship's size, speed and course.…”

Section: Review and Fundamentalsmentioning

confidence: 99%

Early Detection of Vessel Collision Situations in a Vessel Traffic Services Area

et al. 2019

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This study presents enhanced collision detection model in a Vessel Traffic Services (VTS) area. The proposed detection method of collision situations is based on the assumption that VTS station is provided with passage plans of all the vessels in a monitored area. By using an early detection model for prediction of possible collision situations, VTS stations could switch from the area-monitoring concept to the passage-monitoring system. An early detection model of collision risks in a VTS area uses vessels’ dynamic characteristics as inputs (vessels’ position, course over ground and speed), and delivers prediction of their future positions as output. In order to achieve the desired accuracy, the model takes into the account the intended course alterations and the impending environmental loads. The model is able to provide the outputs as early as the passage plans are submitted to a VTS monitored area. Hence, when discussing model’s capability for early detection of collision situations, improved VTS operating standards could be developed in order to achieve safer passages through enhanced collision avoidance strategies. Simulation results clearly show the advantages of the proposed model as a decision support tool for a VTS operator when combining passage plans with the analysis of environmental loads.

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A novel method for restoring the trajectory of the inland waterway ship by using AIS data

Cited by 104 publications

References 27 publications

A distributed framework for extracting maritime traffic patterns

A distributed framework for extracting maritime traffic patterns

Ship Route Planning Using Historical Trajectories Derived from AIS Data

Early Detection of Vessel Collision Situations in a Vessel Traffic Services Area

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