The Relation with Width of Fairway and Marine Traffic Flow

2018 ◽  
pp. 177-182
Keyword(s):  
Traffic Flow ◽  
Marine Traffic

Using AIS Data for Navigational Risk Assessment in Restricted Waters

2013 ◽  
pp. 245-254
Author(s):  
Adi Maimun ◽  
Istaz F. Nursyirman ◽  
Ang Yit Sian ◽  
Rahimuddin Samad ◽  
Sulaiman Oladokun
Keyword(s):  
Risk Assessment ◽  
Traffic Flow ◽  
Assessment Method ◽  
Collision Probability ◽  
Traffic Density ◽  
Automatic Identification ◽  
High Concentration ◽  
Marine Traffic ◽  
Cross Traffic ◽  
Strait Of Malacca

The Strait of Malacca is one of the most important shipping lanes in the world. It averages 150 ship passes a day and more than 50,000 ships annually. With a high concentration of vessels in a narrow path, multiple risk situations arise. Analyzing traffic density is made harder by cross traffic and an unknown traffic density at the Strait. In 2009, Universiti Teknologi Malaysia (UTM), through a collaboration with Kobe University, successfully installed an Automatic Identification System (AIS) receiver. Through the AIS receiver, data of ship movements in the Strait of Malacca and Singapore could be recorded. A program was established by UTM to retrieve the data for the purpose of marine traffic collision risk analysis. In this research, a risk assessment method using AIS data is proposed for restricted waters such as for the Strait of Malacca and Singapore. The Risk Assessment Methodology requires the estimation of collision probabilities. The collision probability of the proposed method considers the Traffic Density, directions of traffic flow (with respect to a subject vessel), and probability of navigational failure. An area in the Strait of Singapore between the latitudes of 1°13’N and 1°07’N and Longitudes of 103°4’E and 103°56’E was selected to illustrate the method. By analysing the AIS data of traffic flow, the probabilities of collision for the area were determined. The effect of vessel parameters of length and speed on the risks of collision are also shown.

Comparative analysis of marine traffic flow in classical models

2019 ◽  
Vol 187 ◽  
pp. 106195 ◽  
Author(s):  
Yamin Huang ◽  
Tsz Leung Yip ◽  
Yuanqiao Wen
Keyword(s):  
Comparative Analysis ◽  
Traffic Flow ◽  
Marine Traffic ◽  
Classical Models

Traffic Flow Measurements in the Dover Strait

1971 ◽  
Vol 24 (3) ◽  
pp. 325-340 ◽  
Author(s):  
J. H. Beattie
Keyword(s):  
Traffic Flow ◽  
National Physical Laboratory ◽  
Limited Data ◽  
Short Term ◽  
Term Study ◽  
Flow Measurements ◽  
Marine Traffic ◽  
Short Term Study ◽  
Physical Laboratory

At the end of February 1971 an exploratory survey of marine traffic on the English side of the Dover Strait was organized and conducted by the National Physical Laboratory of the Department of Trade and Industry. The aim of this first short-term study was to examine possible methods for the long term, and the basic radar ship count was carried out by Decca Radar on behalf of the N.P.L. This trial took place over 72 hours between 12.00 hours on Friday, 26 February and 12.00 hours on Monday, 1 March 1971, all times G.M.T.; it showed that further flow data in other areas of the Strait would be of value and Decca Radar decided to gather additional limited data on traffic flow. The most urgent appeared to be at the narrowest part of the Strait between Cap Gris Nez and Folkestone where the Greek M.V. Niki sank off the Varne during the trial at 20.00 G.M.T. on Saturday, 27 February.

Marine Traffic Flow and Casualties on the Humber

1981 ◽  
Vol 34 (1) ◽  
pp. 38-52 ◽  
Author(s):  
T. G. Coldwell
Keyword(s):  
Traffic Flow ◽  
Traffic Flows ◽  
Marine Traffic ◽  
The World ◽  
Time And Energy

In recent years much time and energy has been spent investigating marine traffic flows and casualties in major seaways and rivers around the world. This paper presents data relating to marine traffic from the Humber light-vessel to the Hull Roads (Fig. 3), an intermediate seaway serving a number of small to medium sized ports.

The Estimation of Collision Risk for Marine Traffic

1981 ◽  
Vol 34 (1) ◽  
pp. 145-147
Author(s):  
A. N. Cockcroft
Keyword(s):  
Mathematical Model ◽  
Traffic Flow ◽  
Coastal Areas ◽  
Collision Risk ◽  
Routing Schemes ◽  
The Third ◽  
Marine Traffic

In a series of three papers Dr Lewison has described the progressive results of a line of research which may have important applications in the consideration of routing schemes. The first paper described a mathematical model which can predict the number of encounters that would occur between ships of different traffic streams in the absence of avoidance manœuvres. In the second paper the number of potential encounters was calculated from estimates of traffic flow, in a particular area of the Dover Strait, then compared with the number of actual collisions to determine the risk of a ship encounter leading to a collision. The third paper updated these results for the Dover Strait and suggested how estimates of collision risk could be made for other UK coastal areas.

scholarly journals A Study of Breakwater Layout on the Basis of Marine Traffic Flow

2005 ◽  
Vol 29 (3) ◽  
pp. 175-180 ◽  
Author(s):  
Jae-Yong Jung ◽  
Young-Soo Park ◽  
Jae-Yong Ko
Keyword(s):  
Traffic Flow ◽  
Marine Traffic

scholarly journals The Effect of Working Area Close to the Route on the Marine Traffic Flow

1989 ◽  
Vol 80 (0) ◽  
pp. 109-116
Author(s):  
Kiyoshi HARA ◽  
Kinzou INOUE ◽  
Naoto SATO ◽  
Keisuke TSUJI ◽  
Masashi KAWAI
Keyword(s):  
Traffic Flow ◽  
Marine Traffic

Encounters in Restricted Waters

1984 ◽  
Vol 37 (2) ◽  
pp. 271-278
Author(s):  
T. G. Coldwell
Keyword(s):  
Mathematical Models ◽  
Traffic Flow ◽  
Presidential Address ◽  
Royal Institute ◽  
Human Element ◽  
Marine Traffic

Lewison gave a brief outline in modelling of marine traffic flow and gave four possible definitions of the ship to ship encounter as well as developing his own optimal criteria. Barratt has been working on the concept of an encounter for several years and has developed the postulates given by Stratton in a presidential address to the Royal Institute of Navigation in 1971. It is interesting to note that Lewison1 distinguished between a ‘ship domain’, which is the area around a vessel that it is observed to keep free of other traffic and is estimated in terms of the actual density of shipping observed to occur around a vessel, and an ‘encounter area’, which is a radius traced out around a ship in the different directions from which threats may come and is the desired area which the vessel should try to keep clear. The nicety of the ‘encounter area’ is that it is generated in terms of mathematical models and in quantitative terms, and can be reasonably easily established; but it totally ignores any human element or navigators' preferences, whereas the ship domain takes both these factors into account and can only be established after long observation of actual traffic behaviour.

scholarly journals Research on Geospatial Association of the Urban Agglomeration around the South China Sea Based on Marine Traffic Flow

2018 ◽  
Vol 10 (9) ◽  
pp. 3346 ◽  
Author(s):  
Xianzhe Zhang ◽  
Yanming Chen ◽  
Manchun Li
Keyword(s):  
South China Sea ◽  
Traffic Flow ◽  
South China ◽  
The South China Sea ◽  
Urban Agglomeration ◽  
Association Network ◽  
Trajectory Data ◽  
The South ◽  
China Sea ◽  
Marine Traffic

Studying the geospatial association within the urban agglomeration around the South China Sea can provide a basis for understanding the internal development of the China-Association of Southeast Asian Nations (ASEAN) Free Trade Area (CAFTA) and provide ideas for promoting economic and trade cooperation among cities in the region. The purpose of this paper was to reflect the characteristics of the urban agglomeration association network based on big traffic data. Based on trajectory data mining and complex network analysis methods, the automatic identification system (AIS) data was used to construct the traffic flow association network of the urban agglomeration around the South China Sea and then analysis and evaluation were carried out in three aspects: Spatial distribution characteristics of marine traffic flow, analysis of spatial hierarchy and internal difference analysis of the urban agglomeration. The results show the following: (1) The distribution of marine traffic flow within the urban agglomeration around the South China Sea is characterized by polarization and localization and shows a specific power-law distribution; (2) there is a close relationship within the urban agglomeration and the core urban and the marginal urban agglomerations were apparent; (3) subgroup division of urban agglomeration around the South China Sea shows an evident geographic agglomeration phenomenon and there were significant differences between the level of economic development among subgroups; and (4) relative to static factors such as population size and economic aggregate, dynamic flow of information and capital traffic flow plays a more important role in the spatial correlation between cities. Strengthening the links among the three layers of core-intermediate-edge cities through trade and investment means enhancing cooperation among cities within the urban agglomeration and ultimately promoting sustainable regional development.

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