Comparison study on AIS data of ship traffic behavior

Fangliang Xiao, Han Ligteringen, Coen Van Gulijk, Ben Ale

Research output: Contribution to journalArticle

74 Citations (Scopus)

Abstract

AIS (Automatic Identification System) data provides valuable input parameters in ship traffic simulation models for maritime risk analysis and the prevention of shipping accidents. This article reports on the detailed comparisons of AIS data analysis between a Dutch case and a Chinese case. This analysis focuses on restricted waterways to support inland waterway simulations, comparing the differences between a narrow waterway in the Netherlands (the Port of Rotterdam) and a wide one in China (wide waterway of Yangtze River close to the Su-Tong Bridge). It is shown that straightforward statistical distributions can be used to characterize lateral position, speed, heading and interval times for different types and sizes of ships. However, the distributions for different characteristics of ship behaviors differ significantly.

Original languageEnglish
Pages (from-to)84-93
Number of pages10
JournalOcean Engineering
Volume95
Early online date26 Dec 2014
DOIs
Publication statusPublished - 1 Feb 2015
Externally publishedYes

Fingerprint

Identification (control systems)
Ships
Inland waterways
Risk analysis
Freight transportation
Accidents
Rivers

Cite this

Xiao, Fangliang ; Ligteringen, Han ; Van Gulijk, Coen ; Ale, Ben. / Comparison study on AIS data of ship traffic behavior. In: Ocean Engineering. 2015 ; Vol. 95. pp. 84-93.
@article{9b349414f10846639e6a78d52b7b4533,
title = "Comparison study on AIS data of ship traffic behavior",
abstract = "AIS (Automatic Identification System) data provides valuable input parameters in ship traffic simulation models for maritime risk analysis and the prevention of shipping accidents. This article reports on the detailed comparisons of AIS data analysis between a Dutch case and a Chinese case. This analysis focuses on restricted waterways to support inland waterway simulations, comparing the differences between a narrow waterway in the Netherlands (the Port of Rotterdam) and a wide one in China (wide waterway of Yangtze River close to the Su-Tong Bridge). It is shown that straightforward statistical distributions can be used to characterize lateral position, speed, heading and interval times for different types and sizes of ships. However, the distributions for different characteristics of ship behaviors differ significantly.",
keywords = "AIS, Data analysis, Maritime risk analysis, Ship traffic simulation",
author = "Fangliang Xiao and Han Ligteringen and {Van Gulijk}, Coen and Ben Ale",
year = "2015",
month = "2",
day = "1",
doi = "10.1016/j.oceaneng.2014.11.020",
language = "English",
volume = "95",
pages = "84--93",
journal = "Ocean Engineering",
issn = "0029-8018",
publisher = "Elsevier BV",

}

Xiao, F, Ligteringen, H, Van Gulijk, C & Ale, B 2015, 'Comparison study on AIS data of ship traffic behavior', Ocean Engineering, vol. 95, pp. 84-93. https://doi.org/10.1016/j.oceaneng.2014.11.020

Comparison study on AIS data of ship traffic behavior. / Xiao, Fangliang; Ligteringen, Han; Van Gulijk, Coen; Ale, Ben.

In: Ocean Engineering, Vol. 95, 01.02.2015, p. 84-93.

Research output: Contribution to journalArticle

TY - JOUR

T1 - Comparison study on AIS data of ship traffic behavior

AU - Xiao, Fangliang

AU - Ligteringen, Han

AU - Van Gulijk, Coen

AU - Ale, Ben

PY - 2015/2/1

Y1 - 2015/2/1

N2 - AIS (Automatic Identification System) data provides valuable input parameters in ship traffic simulation models for maritime risk analysis and the prevention of shipping accidents. This article reports on the detailed comparisons of AIS data analysis between a Dutch case and a Chinese case. This analysis focuses on restricted waterways to support inland waterway simulations, comparing the differences between a narrow waterway in the Netherlands (the Port of Rotterdam) and a wide one in China (wide waterway of Yangtze River close to the Su-Tong Bridge). It is shown that straightforward statistical distributions can be used to characterize lateral position, speed, heading and interval times for different types and sizes of ships. However, the distributions for different characteristics of ship behaviors differ significantly.

AB - AIS (Automatic Identification System) data provides valuable input parameters in ship traffic simulation models for maritime risk analysis and the prevention of shipping accidents. This article reports on the detailed comparisons of AIS data analysis between a Dutch case and a Chinese case. This analysis focuses on restricted waterways to support inland waterway simulations, comparing the differences between a narrow waterway in the Netherlands (the Port of Rotterdam) and a wide one in China (wide waterway of Yangtze River close to the Su-Tong Bridge). It is shown that straightforward statistical distributions can be used to characterize lateral position, speed, heading and interval times for different types and sizes of ships. However, the distributions for different characteristics of ship behaviors differ significantly.

KW - AIS

KW - Data analysis

KW - Maritime risk analysis

KW - Ship traffic simulation

UR - http://www.scopus.com/inward/record.url?scp=84920746824&partnerID=8YFLogxK

UR - https://www.journals.elsevier.com/ocean-engineering

U2 - 10.1016/j.oceaneng.2014.11.020

DO - 10.1016/j.oceaneng.2014.11.020

M3 - Article

VL - 95

SP - 84

EP - 93

JO - Ocean Engineering

JF - Ocean Engineering

SN - 0029-8018

ER -