A Basic Study on the Intensively Controlled Area based on Marine Traffic Volume

2019 ◽  
Vol 9 (2) ◽  
pp. 145-170
Author(s):  
Sang-Won Park ◽  
◽  
Young-Soo Park ◽  
Song-Jin Na
Keyword(s):  
Traffic Volume ◽  
Basic Study ◽  
Marine Traffic

scholarly journals A GIS-Based Spatial-Temporal Autoregressive Model for Forecasting Marine Traffic Volume of a Shipping Network

2019 ◽  
Vol 2019 ◽  
pp. 1-14
Author(s):  
Xianzhe Zhang ◽  
Gang Chen ◽  
Jiechen Wang ◽  
Manchun Li ◽  
Liang Cheng
Keyword(s):  
South China Sea ◽  
South China ◽  
Space Time ◽  
Traffic Volume ◽  
The South China Sea ◽  
Forecasting Model ◽  
The South ◽  
China Sea ◽  
Marine Traffic ◽  
Temporal Model

Research on the forecasting of marine traffic flows can provide a basis for port planning, planning the water area layout, and ship navigation management and provides a practical background for sustainable development evaluation of shipping. Most of the traditional marine traffic volume forecasting studies focus on the variation of the traffic volume of a single port or section in time dimension and less research on traffic correlation of associated ports in shipping networks. To reveal the spatial-temporal autocorrelation characteristics of the shipping network and to establish a suitable space-time forecasting model for marine traffic volume, this paper uses the AIS data from 2011 to 2016 for the South China Sea to construct a regional shipping network. The adjacent discrimination rule based on network correlation is proposed, and the traffic demand between ports is estimated based on the gravity model. On this basis, STARMA (space-time autoregressive moving average) model was introduced for deducing the interaction between he traffic volumes of adjacent ports in shipping network. The experimental results show that (1) there is a significant positive correlation between time and space in the South China Sea shipping network, and this spatial-temporal correlation has the characteristics of time dynamics and spatial heterogeneity; (2) the forecasting accuracy of the marine traffic volume based on the spatial-temporal model is better than the traditional time-series-based forecasting model, and the spatial-temporal model can better portray the spatial-temporal autocorrelation of maritime traffic.

scholarly journals A Basic Study on a New Risk Assessment of Marine Traffic Environment -II.

2017 ◽  
Vol 136 (0) ◽  
pp. 65-71
Author(s):  
Akihiro TSUKISAKA ◽  
Ruri SHOJI ◽  
Tatsuto YAMADA ◽  
Shinji MIZUI
Keyword(s):  
Risk Assessment ◽  
Basic Study ◽  
Marine Traffic ◽  
Traffic Environment

Traffic Surveys in Japan

1971 ◽  
Vol 24 (4) ◽  
pp. 521-534 ◽  
Author(s):  
Atsutoshi Yamaguchi ◽  
Shozo Sakaki
Keyword(s):  
Traffic Control ◽  
Traffic Engineering ◽  
Traffic Volume ◽  
Radar Observations ◽  
Speed Distribution ◽  
Marine Traffic ◽  
Wide Scatter

For marine traffic engineering, traffic surveys are most important and provide the fundamental materials necessary for harbour and fairway design, traffic control planning, &c. Such surveys cover numerous items, the main subjects being traffic volume, speed, distribution of ships' tracks, origin and destination and type of cargo. Since we have to deal with many vessels, handled by people with varying temperaments, knowledge and ability, observations usually show a wide scatter; the object is often to find some formula or rule to explain the phenomena, and traffic surveys are therefore apt to prove both expensive and time consuming. When, for example, Yamaguchi and others conducted a year long observation on traffic in the Akashi Channel in 1963 at least two members of the team stood watch for 24 × 365 hours in a hillside cottage making both visual and radar observations. Since then the survey has been extended to more than ten other straits well known for difficulties in manœuvring.

A Method for Estimating the Voyage Distribution of Marine Traffic

1977 ◽  
Vol 30 (3) ◽  
pp. 386-393 ◽  
Author(s):  
Kiyoshi Hara
Keyword(s):  
Research Group ◽  
Technical College ◽  
Traffic Volume ◽  
Radar Observation ◽  
Traffic Density ◽  
Traffic System ◽  
Osaka Bay ◽  
Marine Traffic ◽  
Local Navigation ◽  
The World

Various surveys have been carried out in narrow waters throughout the world and provide data on the traffic volume, traffic density, velocity distributions of ships, &c. Although these surveys certainly contribute to the safety of local navigation they do not give any information on traffic movements between terminal points in a marine traffic system. There are a few papers on voyage distribution based on traffic surveys, statistical reports or questionnaires to mariners and also a few based on radar observation, including one in Osaka Bay in Japan which was carried out by the traffic research group of the Kobe University of Mercantile Marine and Nautical Technical College.

scholarly journals A Basic Study on a New Risk Assessment of Marine Traffic Environment - I.

2015 ◽  
Vol 133 (0) ◽  
pp. 43-49
Author(s):  
Akihiro TSUKISAKA ◽  
Shinji MIZUI ◽  
Ruri SHOJI ◽  
Tatsuto YAMADA
Keyword(s):  
Risk Assessment ◽  
Basic Study ◽  
Marine Traffic ◽  
Traffic Environment
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