RT info:eu-repo/semantics/article
T1 Decision-support system for the management of truck stays at seaports
A1 López Plata, Israel
A1 Martín Lorenzo, Alba
A1 Expósito Márquez, Airam
A1 Expósito-Izquierdo, Christopher
A1 Castilla Rodr´ıguez, Iván
A2 Ingeniería Informática y de Sistemas
K1 Seaport
K1 machine learning
K1 data visualization
K1 simulation model
AB Thls work presents a decision-support system for predictive analysis of truck arrivals, dwell times and possible congestion situationsin seaport, through a methodology that encornpasses machine learning algorithn1s, data visualization tools and discrete-eventsimulation models. This decision-support system makes it possible to have a detailed planning of the arrival and transit timesof trucks in the port to predict land congestion events; and to know in advance the needs in relation to services or stopovers, andhow long each truck will be i.n the port facilities. Toe system also allows for the planning and sizing of waiting areas according toexpected arrivals and dwell times of trucks in port, at the saine tilrne that it optimizes port value spaces, and reduces unnecessaryjourneys and associated emissions, by evaluating the relationship between the sea side and the demand in land accesses. This willeventually help to improve coexistence at1d pott-city integration between urban and heavy traffic. The system has been validated inthe Port of Santander (Spain) with satisfactory results in terms of operational improvement
YR 2023
FD 2023
LK http://riull.ull.es/xmlui/handle/915/40310
UL http://riull.ull.es/xmlui/handle/915/40310
LA en
DS Repositorio institucional de la Universidad de La Laguna
RD 18-dic-2024