Observatorio de I+D+i UPM

Memorias de investigación
Research Publications in journals:
DEVELOPMENT OF A VESSEL PERPFORMANCE FORECASTING SYSTEM: METHODOLOGICAL FRAMEWORK AND CASE STUDY
Year:2015
Research Areas
  • Engineering
Information
Abstract
Terminals rely on optimization tools to determine merchandise location, quay occupation or vehicle trajectories, in order to minimize the movements as well as the time dedicated to every task. However, operations are developed into an environment that induces variability to the theoretical model used to schedule and control the operations. Given the complexity of the port operations, artificial intelligence systems can act as a valuable tool to analyze such processes. Neural networks in particular are characterized by their capacity to establish non-linear relationships (and consequently, non intuitive ones) among the variables; this interaction generates a specific operational response. In the near future, the monitoring of operational variables has great potential to make a qualitative improvement in the operations management and planning models of terminals that use increasing levels of automation. In this paper we propose a method to obtain operational parameter forecasts in container terminals. To this end, a case study is presented, in which forecasts of vessel performance are obtained. By doing so, the management strategies are supported by an expert system, grounded in the historical data series of quay operation and on the climatic conditions observed, as well as on the ordinary and extraordinary events that have happened in the past, from which the system is able to "learn". This research has been based entirely on data gathered from a semi-automated container terminal from Spain.
International
Si
JCR
Si
Title
Journal of Waterway Port Coastal And Ocean Engineering
ISBN
0733-950X
Impact factor JCR
1,107
Impact info
Datos JCR del año 2013
Volume
Journal number
From page
TBD
To page
TBD
Month
SIN MES
Ranking
Participants
  • Autor: Rebeca Gomez Gonzalez (UPM)
  • Autor: Alberto Camarero Orive (UPM)
  • Autor: Rafael Molina Sanchez (UPM)
Research Group, Departaments and Institutes related
  • Creador: Departamento: Ingeniería Civil: Transporte y Territorio
S2i 2020 Observatorio de investigación @ UPM con la colaboración del Consejo Social UPM
Cofinanciación del MINECO en el marco del Programa INNCIDE 2011 (OTR-2011-0236)
Cofinanciación del MINECO en el marco del Programa INNPACTO (IPT-020000-2010-22)