[ICACE2022] Prediction of container vessel waiting time in Busan port using LSTM neural network

Author:

Shin HyeonsooORCID,Kim ChiyeolORCID,Kim HwanseongORCID

Funder

Ministry of Oceans and Fisheries

Publisher

Journal of Advanced Marine Engineering and Technology

Reference23 articles.

1. Trade-to-GDP Ratio, https://www.index.go.kr/unify/idx-info.do?idxCd=4207&clasCd=7, Accessed October 11, 2022.

2. M. -K. Lee, “A study on determinant of the ship’s time in a port in the perspective of port service innovation,” Innovation Studies, vol. 7, no. 1, pp. 51-69, 2012 (in Korean).

3. G. -T. Yeo and D. -W. Song, “The hierarchical analysis of perceived competitiveness: An application to Korean container ports,” Journal of the Eastern Asia Society for Transportation Studies, vol. 6, pp. 866-880, 2005.

4. E.-S. Kim and G.-S. Kim, “An analysis of ship’s waiting ratio in the Korean seaports,” Journal of Navigation and Port Research, vol. 40, no. 1, pp. 35-41, 2016 (In Korean).

5. A Study on the Gap between Theoretical and Actual Ship Waiting Ratio of Container Terminals : The Case of a Terminal in Busan New Port

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