Forecasting of traffic flows at ferry terminals : a hybrid model
Year of publication: |
2019
|
---|---|
Authors: | Ansorena, Iñigo L. |
Published in: |
International journal of agile systems and management : IJASM. - [Olney, Bucks.] : Inderscience Enterprises, ISSN 1741-9174, ZDB-ID 2212006-3. - Vol. 12.2019, 1, p. 27-43
|
Subject: | forecast | time series | association discovery | ferry terminal | port management | hybrid model | traffic flows | Prognoseverfahren | Forecasting model | Theorie | Theory | Zeitreihenanalyse | Time series analysis | Fährschifffahrt | Ferry shipping | Hafenwirtschaft | Port management | Verkehrsaufkommen | Traffic volume |
-
Managing uncertainty in ferry terminals : a machine learning approach
Ansorena, Iñigo L., (2020)
-
Forecasting and trading high frequency volatility on large indices
Liu, Fei, (2018)
-
Truong Ngoc Cuong, (2023)
- More ...
-
Service anomaly detection in dry bulk terminals : a machine learning approach
Ansorena, Iñigo L., (2023)
-
Improving crane routes in automated container terminals : a complex network approach
Ansorena, Iñigo L., (2022)
-
Managing uncertainty in ferry terminals : a machine learning approach
Ansorena, Iñigo L., (2020)
- More ...