Estimation of Container Traffic at Seaports by Using Several Soft Computing Methods: A Case of Turkish Seaports
Joint Authors
Gökkuş, Ümit
Yıldırım, Mehmet Sinan
Aydin, Metin Mutlu
Source
Discrete Dynamics in Nature and Society
Issue
Vol. 2017, Issue 2017 (31 Dec. 2017), pp.1-15, 15 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2017-03-07
Country of Publication
Egypt
No. of Pages
15
Main Subjects
Abstract EN
Container traffic forecasting is important for the operations and the design steps of a seaport facility.
In this study, performances of the novel soft computing models were compared for the container traffic forecasting of principal Turkish seaports (Istanbul, Izmir, and Mersin seaports) with excessive container traffic.
Four forecasting models were implemented based on Artificial Neural Network with Artificial Bee Colony and Levenberg-Marquardt Algorithms (ANN-ABC and ANN-LM), Multiple Nonlinear Regression with Genetic Algorithm (MNR-GA), and Least Square Support Vector Machine (LSSVM).
Forecasts were carried out by using the past records of the gross domestic product, exports, and population of the Turkey as indicators of socioeconomic and demographic status.
Performances of the forecasting models were evaluated with several performance metrics.
Considering the testing period, the LSSVM, ANN-ABC, and ANN-LM models performed better than the MNR-GA model considering overall fitting and prediction performances of the extreme values in the testing data.
The LSSVM model was found to be more reliable compared to the ANN models.
Forecasting part of the study suggested that container traffic of the seaports will be increased up to 60%, 67%, and 95% at the 2023 for the Izmir, Mersin, and Istanbul seaports considering official growth scenarios of Turkey.
American Psychological Association (APA)
Gökkuş, Ümit& Yıldırım, Mehmet Sinan& Aydin, Metin Mutlu. 2017. Estimation of Container Traffic at Seaports by Using Several Soft Computing Methods: A Case of Turkish Seaports. Discrete Dynamics in Nature and Society،Vol. 2017, no. 2017, pp.1-15.
https://search.emarefa.net/detail/BIM-1151278
Modern Language Association (MLA)
Gökkuş, Ümit…[et al.]. Estimation of Container Traffic at Seaports by Using Several Soft Computing Methods: A Case of Turkish Seaports. Discrete Dynamics in Nature and Society No. 2017 (2017), pp.1-15.
https://search.emarefa.net/detail/BIM-1151278
American Medical Association (AMA)
Gökkuş, Ümit& Yıldırım, Mehmet Sinan& Aydin, Metin Mutlu. Estimation of Container Traffic at Seaports by Using Several Soft Computing Methods: A Case of Turkish Seaports. Discrete Dynamics in Nature and Society. 2017. Vol. 2017, no. 2017, pp.1-15.
https://search.emarefa.net/detail/BIM-1151278
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1151278