Ponències/Comunicacions de congressos
http://hdl.handle.net/2117/3944
20160724T13:10:15Z

Metodologia del estudio de alternativas en el delta del llobregat
http://hdl.handle.net/2117/88611
Metodologia del estudio de alternativas en el delta del llobregat
Montero Mercadé, Lídia; Codina Sancho, Esteve; Barceló Bugeda, Jaime; Barceló, P
El Delta del Llobregat acoge en la actualidad la implantación de una nueva autovía y la remodelación de infraestructuras existentes determinada por la construcción de la denominada Pata Sur (acceso al Aeropuerto de Barcelona, el Nus del Llobregat y el Nus de Bellvitge). El estudio de planificación llevado a cabo combina las etapas de desarrollo clásicas, con la innovación metodológica derivada de las herramientas empleadas.
La construcción semiautomática de modelos de grafos de transporte se ha realizado con el editor gráfico de redes GETRAM que permite a partir de una cartografía digitalizada la definición ágil de las características de las distintas secciones de la red modelizada en un ámbito de estudio (carriles, anchura, velocidad, longitud, capacidad). A partir del formato interno GETRAM se han podido generar: los modelos de grafos de la situación actual y de las alternativas de estudio en formato EMME/2, y los submodelos de puntos críticos a estudiar mediante la simulación microscópica con AIMSUN2.
El modelo de planificación en EMME/2 ha permitido cuantificar la demanda actual, evaluar las alternativas propuestas y sus puntos críticos, así como facilitar las matrices de movilidad y proporciones de giro de los subámbitos a analizar mediante simulación microscópica.
20160707T17:35:00Z
Montero Mercadé, Lídia
Codina Sancho, Esteve
Barceló Bugeda, Jaime
Barceló, P
El Delta del Llobregat acoge en la actualidad la implantación de una nueva autovía y la remodelación de infraestructuras existentes determinada por la construcción de la denominada Pata Sur (acceso al Aeropuerto de Barcelona, el Nus del Llobregat y el Nus de Bellvitge). El estudio de planificación llevado a cabo combina las etapas de desarrollo clásicas, con la innovación metodológica derivada de las herramientas empleadas.
La construcción semiautomática de modelos de grafos de transporte se ha realizado con el editor gráfico de redes GETRAM que permite a partir de una cartografía digitalizada la definición ágil de las características de las distintas secciones de la red modelizada en un ámbito de estudio (carriles, anchura, velocidad, longitud, capacidad). A partir del formato interno GETRAM se han podido generar: los modelos de grafos de la situación actual y de las alternativas de estudio en formato EMME/2, y los submodelos de puntos críticos a estudiar mediante la simulación microscópica con AIMSUN2.
El modelo de planificación en EMME/2 ha permitido cuantificar la demanda actual, evaluar las alternativas propuestas y sus puntos críticos, así como facilitar las matrices de movilidad y proporciones de giro de los subámbitos a analizar mediante simulación microscópica.

Un estudio de movilidad y modelización de la red de transporte de Zaragoza
http://hdl.handle.net/2117/88147
Un estudio de movilidad y modelización de la red de transporte de Zaragoza
Montero Mercadé, Lídia; Singla, Jordi Obiols
Zaragoza is a medium size spanish city that has been involved in a Movility Survey and Bus Network Modelization project sponsored by the local administration and the transportation operator (TUZSA). The updating of movility information and the development of a model of urban transportation for planification purposes have been the goals of the present study that took 18 months for completition.
20160617T16:53:08Z
Montero Mercadé, Lídia
Singla, Jordi Obiols
Zaragoza is a medium size spanish city that has been involved in a Movility Survey and Bus Network Modelization project sponsored by the local administration and the transportation operator (TUZSA). The updating of movility information and the development of a model of urban transportation for planification purposes have been the goals of the present study that took 18 months for completition.

A stochastic programming model for the tertiary control of microgrids
http://hdl.handle.net/2117/87023
A stochastic programming model for the tertiary control of microgrids
Citores, Leire; Corchero García, Cristina; Heredia, F.Javier (Francisco Javier)
In this work a scenariobased twostage stochastic programming model is proposed to solve a microgrid’s tertiary control optimization problem taking into account some renewable energy resource’s uncertainty as well as uncertain energy deviation prices in the electricity market. Scenario generation methods for wind speed realizations are also studied. Results show that the introduction of stochastic programming represents a significant improvement over a deterministic model.
20160512T14:15:37Z
Citores, Leire
Corchero García, Cristina
Heredia, F.Javier (Francisco Javier)
In this work a scenariobased twostage stochastic programming model is proposed to solve a microgrid’s tertiary control optimization problem taking into account some renewable energy resource’s uncertainty as well as uncertain energy deviation prices in the electricity market. Scenario generation methods for wind speed realizations are also studied. Results show that the introduction of stochastic programming represents a significant improvement over a deterministic model.

Potential externalities savings due to electric vehicle smart charge
http://hdl.handle.net/2117/86395
Potential externalities savings due to electric vehicle smart charge
Benveniste Pérez, Gabriela; Corchero García, Cristina; Cruz Zambrano, Miguel
This work focuses on the analysis developed in order to demonstrate how smart charging, using tailored control algorithms, contributes to minimize the environmental impact and economic costs associated to the electric vehicles under an LCA perspective. The analysis considers the Spanish grid mix profile and specific charging patterns.The LCA methodology adopted implies a comprehensive assessment of the impacts and costs occurring upstream and downstream the charging event. For the environmental analysis, the LCA impact categories are considered, while for the economic assessment, data regarding the costs associated to the electricity price and the pollutants generation have been adopted.
20160428T15:17:03Z
Benveniste Pérez, Gabriela
Corchero García, Cristina
Cruz Zambrano, Miguel
This work focuses on the analysis developed in order to demonstrate how smart charging, using tailored control algorithms, contributes to minimize the environmental impact and economic costs associated to the electric vehicles under an LCA perspective. The analysis considers the Spanish grid mix profile and specific charging patterns.The LCA methodology adopted implies a comprehensive assessment of the impacts and costs occurring upstream and downstream the charging event. For the environmental analysis, the LCA impact categories are considered, while for the economic assessment, data regarding the costs associated to the electricity price and the pollutants generation have been adopted.

European electric vehicle fleet: driving and charging behaviors
http://hdl.handle.net/2117/86393
European electric vehicle fleet: driving and charging behaviors
Corchero García, Cristina
The electrification of vehicles would be a reality in the coming decades. Statistical results on real electric vehicle usage data is a key point in the development of the electro mobility. A large collection of electric vehicles and charging points have been monitored during three years and the results about the driving and charging patterns are shown in this work. These results may help to develop future policies on, for instance, charging infrastructure location, endusers incentives, or to allow different type of economic analysis such as an evaluation of the electric vehicle integration in the grid, smartcharge impact…
20160428T15:10:46Z
Corchero García, Cristina
The electrification of vehicles would be a reality in the coming decades. Statistical results on real electric vehicle usage data is a key point in the development of the electro mobility. A large collection of electric vehicles and charging points have been monitored during three years and the results about the driving and charging patterns are shown in this work. These results may help to develop future policies on, for instance, charging infrastructure location, endusers incentives, or to allow different type of economic analysis such as an evaluation of the electric vehicle integration in the grid, smartcharge impact…

An integrated Computational framework for the estimation of dynamic OD trip matrices
http://hdl.handle.net/2117/83507
An integrated Computational framework for the estimation of dynamic OD trip matrices
Barceló Bugeda, Jaime; Montero Mercadé, Lídia
OriginDestination (OD) trip matrices describe the patterns of traffic behavior across the network and play a key role as primary data input to many traffic models. OD matrices are a critical requirement, either in static or dynamic models for traffic assignment. However, OD matrices are not yet directly observable; thus, the current practice consists of adjusting an initial or a priori matrix from link flow counts, speeds, travel times and other aggregate demand data. This information is provided by an existing layout of traffic counting stations, as the
traditional loop detectors. The availability of new traffic
measurements provided by ICT applications offers the possibility to formulate and develop more efficient algorithms, especially suited for realtime applications. However, the efficiency strongly depends, among other factor, on the quality of the seed matrix.
This paper proposes an integrated computational framework in which an offline procedure generates the timesliced OD matrices, which are the input to an online estimator. The paper also analyzes the sensitivity of the online estimator with respect to the available ICT traffic measurements.
20160226T18:44:07Z
Barceló Bugeda, Jaime
Montero Mercadé, Lídia
OriginDestination (OD) trip matrices describe the patterns of traffic behavior across the network and play a key role as primary data input to many traffic models. OD matrices are a critical requirement, either in static or dynamic models for traffic assignment. However, OD matrices are not yet directly observable; thus, the current practice consists of adjusting an initial or a priori matrix from link flow counts, speeds, travel times and other aggregate demand data. This information is provided by an existing layout of traffic counting stations, as the
traditional loop detectors. The availability of new traffic
measurements provided by ICT applications offers the possibility to formulate and develop more efficient algorithms, especially suited for realtime applications. However, the efficiency strongly depends, among other factor, on the quality of the seed matrix.
This paper proposes an integrated computational framework in which an offline procedure generates the timesliced OD matrices, which are the input to an online estimator. The paper also analyzes the sensitivity of the online estimator with respect to the available ICT traffic measurements.

Using BCDCTA for difficult tables: a practical experiment with a real Eurostat table
http://hdl.handle.net/2117/83503
Using BCDCTA for difficult tables: a practical experiment with a real Eurostat table
Castro Pérez, Jordi; González Alastrué, José Antonio; Hundepool, Anco
CTA is a posttabular perturbative approach for statistical disclosure control. Its purpose is to compute the closest safe table to the original data, using some distance.
Sensitive cells are adjusted either upwards or downwards (binary decision), and the resulting cells have to be accordingly (and minimally) modi_ed to preserve marginals. For real and large tables, CTA may result in a dicult mixed integer linear problem for some
weights in the objective function. In those situations the Block Coordinate Descent (BCD) heuristic for CTAwhich is included in the TauArgus CTA distributionmay be used to quickly obtain a feasible, hopefully close to optimality, solution. We present a practical experiment using a large and di_cult realworld table from Eurostat. We will show that, for unitary weights, while the standard CTA can not obtain a solution in about half an hour, the BCDCTA approach provides a solution in few seconds.
20160226T15:41:16Z
Castro Pérez, Jordi
González Alastrué, José Antonio
Hundepool, Anco
CTA is a posttabular perturbative approach for statistical disclosure control. Its purpose is to compute the closest safe table to the original data, using some distance.
Sensitive cells are adjusted either upwards or downwards (binary decision), and the resulting cells have to be accordingly (and minimally) modi_ed to preserve marginals. For real and large tables, CTA may result in a dicult mixed integer linear problem for some
weights in the objective function. In those situations the Block Coordinate Descent (BCD) heuristic for CTAwhich is included in the TauArgus CTA distributionmay be used to quickly obtain a feasible, hopefully close to optimality, solution. We present a practical experiment using a large and di_cult realworld table from Eurostat. We will show that, for unitary weights, while the standard CTA can not obtain a solution in about half an hour, the BCDCTA approach provides a solution in few seconds.

Development of an open application for teaching statistics: conception and results
http://hdl.handle.net/2117/83171
Development of an open application for teaching statistics: conception and results
Serrahima de Cambra, Eduard; Marco Almagro, Lluís; TortMartorell Llabrés, Xavier; Grima Cintas, Pedro; Rodero de Lamo, Lourdes
Different commercial statistical software packages exist that are appropriate for teaching statistics. However, free alternatives are scarce, and those existing suffer from problems (such as difficult installations and bizarre interfaces) that make them not very usable. This paper presents the conception and implementation of a new application for statistical analysis with the following characteristics: free, simple to use, multiplatform, scalable and with a focus on statistical concepts and ideas.
The whole development cycle will be explained in the presentation: first list of user requirements, design decisions, implementation and testing. The application is developed in R language and uses the shiny package for the user interface. Although the application obviously allows the analysis of real data through graphs and statistical methods, its main objective is facilitating the acquisition of statistical concepts. To accomplish this, menus, configuration options and results are presented in a way that fosters reflection on basic statistical ideas. The application has a special emphasis on industrial statistics.
Initial feedback from users testing the application will be exposed, and ways to freely access and use the application will be presented.
20160219T12:33:58Z
Serrahima de Cambra, Eduard
Marco Almagro, Lluís
TortMartorell Llabrés, Xavier
Grima Cintas, Pedro
Rodero de Lamo, Lourdes
Different commercial statistical software packages exist that are appropriate for teaching statistics. However, free alternatives are scarce, and those existing suffer from problems (such as difficult installations and bizarre interfaces) that make them not very usable. This paper presents the conception and implementation of a new application for statistical analysis with the following characteristics: free, simple to use, multiplatform, scalable and with a focus on statistical concepts and ideas.
The whole development cycle will be explained in the presentation: first list of user requirements, design decisions, implementation and testing. The application is developed in R language and uses the shiny package for the user interface. Although the application obviously allows the analysis of real data through graphs and statistical methods, its main objective is facilitating the acquisition of statistical concepts. To accomplish this, menus, configuration options and results are presented in a way that fosters reflection on basic statistical ideas. The application has a special emphasis on industrial statistics.
Initial feedback from users testing the application will be exposed, and ways to freely access and use the application will be presented.

A sharedparameter joint model for prostate cancer risk and psa longitudinal profiles
http://hdl.handle.net/2117/82670
A sharedparameter joint model for prostate cancer risk and psa longitudinal profiles
Serrat Piè, Carles; Rué, Montserrat; Perpiñán Fabuel, Hèctor; Forte, Anabel; Armero, Carmen; Piulachs, Xavier; Páez, Álvaro; Gómez Melis, Guadalupe
The paper describes the use of frequentist and Bayesian sharedparameter joint models of longitudinal measurements of prostate specific antigen (PSA) and the risk of prostate cancer (PCa). The motivating dataset corresponds to the screening arm of the Spanish branch of the European Randomized Screening for Prostate Cancer (ERSPC) study. The results show that PSA is highly associated with the risk of being diagnosed with PCa and that there is an agevarying effect of PSA on PCa risk. Both the frequentist and Bayesian paradigms produced very close parameter estimates and subsequent 95% confidence and credibility intervals. Dynamic estimations of diseasefree probabilities obtained using Bayesian inference highlight the potential of joint models to guide personalized riskbased screening strategies.
20160208T12:54:41Z
Serrat Piè, Carles
Rué, Montserrat
Perpiñán Fabuel, Hèctor
Forte, Anabel
Armero, Carmen
Piulachs, Xavier
Páez, Álvaro
Gómez Melis, Guadalupe
The paper describes the use of frequentist and Bayesian sharedparameter joint models of longitudinal measurements of prostate specific antigen (PSA) and the risk of prostate cancer (PCa). The motivating dataset corresponds to the screening arm of the Spanish branch of the European Randomized Screening for Prostate Cancer (ERSPC) study. The results show that PSA is highly associated with the risk of being diagnosed with PCa and that there is an agevarying effect of PSA on PCa risk. Both the frequentist and Bayesian paradigms produced very close parameter estimates and subsequent 95% confidence and credibility intervals. Dynamic estimations of diseasefree probabilities obtained using Bayesian inference highlight the potential of joint models to guide personalized riskbased screening strategies.

Economic analysis of battery electric storage systems operating in electricity markets
http://hdl.handle.net/2117/82524
Economic analysis of battery electric storage systems operating in electricity markets
Heredia, F.Javier (Francisco Javier); Riera, Jordi; Mata, Montserrat; Escuer, Joan; Romeu, Jordi
Battery electric storage systems (BESS) in the range of 110 MWh is a key technology allowing a more efficient operation of small electricity market producer. The aim of this work is to assess the economic viability of Liion based BESS systems for small electricity producers. The results of the expost economic analysis performed with real data from the Iberian Electricity Market shows the economic viability of a Liion based BESS thanks to the optimal operation in dayahead and ancillary electricity markets.
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20160203T18:04:17Z
Heredia, F.Javier (Francisco Javier)
Riera, Jordi
Mata, Montserrat
Escuer, Joan
Romeu, Jordi
Battery electric storage systems (BESS) in the range of 110 MWh is a key technology allowing a more efficient operation of small electricity market producer. The aim of this work is to assess the economic viability of Liion based BESS systems for small electricity producers. The results of the expost economic analysis performed with real data from the Iberian Electricity Market shows the economic viability of a Liion based BESS thanks to the optimal operation in dayahead and ancillary electricity markets.