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El objeto del presente proyecto es el dimensionamiento de una industria dedicada a la elaboración y comercialización de aceite de oliva virgen extra, con Denominación de Origen Les Garrigues, con una línea para la gestión, tratamiento y posterior aprovechamiento energético del hueso de aceituna. La industria se situará a las afueras de la localidad Granadella, en la provincia de Lérida, y tendrá una capacidad de 500.000 kg de aceituna de variedad arbequina por campaña. El proceso productivo abarcará desde la recepción de la materia prima hasta la obtención del aceite, con su correspondiente envasado y etiquetado.

Uno de los proyectos más ambiciosos de Piaget fue extender algunos aspectos de su teoría del desarrollo cognitivo, proponiendo que el dominio explicativo de la teoría podría extenderse a la historia de la ciencia. Este trabajo presenta un caso que resulta de interés para la discusión acerca de la factibilidad de la pretensión piagetiana, mostrando de qué modo el desarrollo de los modelos planetarios desde Ptolomeo a Kepler sigue las etapas descriptas por Piaget en su teoría.

El trabajo explica el siguiente razonamiento: si las verdades matemáticas no son creación humana, entonces necesariamente hay que aceptar la existencia de un Intelecto Eterno que sea su sustento metafísico. La premisa es defendida a partir del descubrimiento gödeliano de la imposibilidad de formalizar la totalidad de las matemáticas en un sistema deductivo formal. A partir de allí se muestra la necesidad de admitir una existencia eidética objetiva de las “entidades matemáticas”. Luego, tomando un argumento de San Agustín en De libero arbitrio, se llega a la necesidad de la existencia de Dios como Intelecto que sostiene el ser de las Ideas.

New sustainable mobility concepts and smart resilient ideas are arising every day. However, there is not an easy way to bring these ideas into reality, or to test how good they are as mobility solutions. Virtual Mobility Lab offers the opportunity to evaluate the impact of new mobility concepts before taking them to the real world. In this work, a multimodal macroscopic traffic simulation model of the Barcelona Metropolitan Area is developed, including both public and private transport network. This paper explains the remarkable features developed for this model, such as the network hierarchy and the multimodal public network interchangers, allowing demand to exchange between public transportation modes along their origin-destination paths., Peer Reviewed, Postprint (author's final draft)

Probe-based technologies are proliferating as a means for inferring traffic states. Technological companies are interested in traffic data for computing the best routes in a traffic-aware manner and they also provide real-time traffic information with certain temporal accuracy. This paper analyses and evaluates how data provided by a fleet of probe cars can be used to develop a navigation service and how the penetration rate of this service affects a set of city-scale KPIs (Key Performance Indicators) and driver KPIs. The case study adopts a model-driven approach in which microscopic simulation emulates real-size fleets of probe vehicles that provide positions and speed data. What is noteworthy about the modelling behaviour is that drivers are segmented according to their knowledge of network conditions for selected trips: experts, regular drivers and tourists. The paper presents and discusses the modelling approach and the results obtained from an experimental Barcelona CBD model designed to evaluate the penetration rates of probe vehicles and route guidance. An analysis of the simulation experiments reveals remarkable links among city-scale KPIs, which – from a multivariate point of view – is a novelty. A simulation-based framework for results analysis and visualization is also introduced in order to simplify the simulation results analysis and easily visualize OD paths for driver segments., Peer Reviewed, Postprint (author's final draft)

Probe-based technologies are proliferating as a means of inferring traffic states. Technological companies are interested in traffic data for computing the best routes in a traffic-aware manner and they also provide real-time traffic information with certain temporal accuracy. This paper analyses and evaluates how data provided by a fleet of probe cars can be used to develop a navigation service and how the penetration rate of this service affects a set of city-scale KPIs (Key Performance Indicators) and driver KPIs. The case study adopts a model-driven approach in which microscopic simulation emulates real-size fleets of probe vehicles that provide positions and speed data. What is noteworthy about the modelling behaviour is that drivers are segmented according to their knowledge of network conditions for selected trips: experts, regular drivers, and tourists. The paper presents and discusses the modelling approach and the results obtained from an experimental Barcelona CBD model designed to evaluate the penetration rates of probe vehicles and route guidance. An analysis of the simulation experiments reveals remarkable links among city-scale KPIs, which—from a multivariate point of view—is a novelty. A simulation-based framework for results analysis and visualization is also introduced in order to simplify the simulation results analysis and easily visualize OD paths for driver segments., Throughout this work, the authors have benefited from the support of inLab FIB team at UPC and the suggestions of Jaume Barceló (Emeritus Professor at UPC). This research was funded by Spanish R+D Programs, TRA2016-76914-C3-1-P, and by Secretaria d’Universitats-i-Recerca-Generalitat de Catalunya, 2017-SGR-1749., Peer Reviewed, Postprint (published version)