Title: Forecasting of traffic flows at ferry terminals. A hybrid model

Authors: Iñigo L. Ansorena

Addresses: ETS Ingenieros de Caminos, Canales y Puertos, Technical University of Madrid, Madrid 28040, Spain

Abstract: This paper presents an agile approach for managing ferry terminals. We propose a double-stage model that forecasts traffic. The hybrid model is based on quantitative tools. First, we search for associations in data and then, we develop a time series analysis. The specific objectives of the study are firstly to survey and collect data at a disaggregated level in terms of passenger and vehicle flows and time periods; and secondly, to develop forecasts on short-term using a combination of the proposed techniques. We think that the simultaneous application of historical analogy and time series forecasting is a powerful tool to predict the future traffic. Additionally, the methodological procedure proposed in this paper is general enough to be applied to other traffics and ports.

Keywords: forecast; time series; association discovery; ferry terminal; port management; hybrid model; traffic flows.

DOI: 10.1504/IJASM.2019.098707

International Journal of Agile Systems and Management, 2019 Vol.12 No.1, pp.27 - 43

Received: 08 Feb 2018
Accepted: 24 May 2018

Published online: 15 Mar 2019 *

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