Forecast of marine traffic volume using time series model

Author(s):  
Sang-Rok Yoo ◽  
Jung Sik Jeong ◽  
Jae-Yong Jong ◽  
Gyei-Kark Park
2020 ◽  
Vol 9 (2) ◽  
Author(s):  
Akim Ramin ◽  
Masnawi Mustaffa ◽  
Shaharudin Ahmad

In the study of ocean engineering, marine traffic is referring to the study of the pattern of the density of ships within the particular boundaries at certain periods. The Port Klang and Straits of Malacca are known for one of the heaviest traffics in Malaysia and the world. The study of traffic within this area is important, because it enables ships to avoid traffic congestion that might happen. Thus, this study is mainly aimed at   predicting or forecasting the density of the ships using the route through this waterway by using quantitative methods which are time-series models and the associative models from the Automatic Identification System (AIS) data. The moving averages, weight moving average, and exponential smoothing for the time series model and associative model have used multiple regression. The results show an exponential smoothing alpha 0.8 and give the lowest MAPE as 20.701%, thereby making this method to be the best in forecasting the future traffic density among the method categories.


Author(s):  
Sang-Rok Yoo ◽  
Young-Soo Park ◽  
Jung-Sik Jeong ◽  
Chul-Seong Kim ◽  
Jae-Yong Jeong

2011 ◽  
Vol 3 (9) ◽  
pp. 562-566
Author(s):  
Ramin Rzayev ◽  
◽  
Musa Agamaliyev ◽  
Nijat Askerov

2019 ◽  
Vol 139 (3) ◽  
pp. 212-224
Author(s):  
Xiaowei Dui ◽  
Masakazu Ito ◽  
Yu Fujimoto ◽  
Yasuhiro Hayashi ◽  
Guiping Zhu ◽  
...  

2019 ◽  
Vol 9 (2) ◽  
pp. 145-170
Author(s):  
Sang-Won Park ◽  
◽  
Young-Soo Park ◽  
Song-Jin Na

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