Doctorat en Estadística i Investigació Operativa

Recent Submissions

  • Estudio de mercados de flexibilidad de la demanda y algoritmos de agregadores 

    Canals Casals, Lluc; Barbero, Mattia; Corchero García, Cristina; Igualada González, Lucía (2018)
    Conference report
    Open Access
    La flexibilidad de la demanda implica, siempre, un desplazamiento de la misma buscando un beneficio, aunque este beneficio se pueda obtener por medios distintos: el arbitraje de precios aprovechando la fluctuación del ...

  • Wildfires vegetation recovery through satellite remote sensing and functional data analysis 

    Serra Burriel, Feliu; Delicado Useros, Pedro Francisco; Cucchietti, Fernando (Multidisciplinary Digital Publishing Institute (MDPI), 2021-06-07)
    Article
    Open Access
    In recent years, wildfires have caused havoc across the world, which are especially aggravated in certain regions due to climate change. Remote sensing has become a powerful tool for monitoring fires, as well as for measuring ...

  • A city of cities: Measuring how 15-minutes urban accessibility shapes human mobility in Barcelona 

    Graells Garrido, Eduardo; Serra Burriel, Feliu; Rowe, Francisco; Cucchietti, Fernando; Reyes Valenzuela, Patricio Alejandro (Public Library of Science (PLOS), 2021-05-05)
    Article
    Open Access
    As cities expand, human mobility has become a central focus of urban planning and policy making to make cities more inclusive and sustainable. Initiatives such as the “15-minutes city” have been put in place to shift the ...

  • A new interior-point approach for large separable convex quadratic two-stage stochastic problems 

    Castro Pérez, Jordi; Lama Zubirán, Paula de la (2020-11-03)
    Article
    Open Access
    Two-stage stochastic models give rise to very large optimization problems. Several approaches havebeen devised for efficiently solving them, including interior-point methods (IPMs). However, usingIPMs, the linking columns ...

  • Transport analytics approaches to the dynamic origin-destination estimation problem 

    Ros Roca, Xavier; Montero Mercadé, Lídia; Barceló Bugeda, Jaime; Noëkel, Klaus; Gentile, Guido (2020-10)
    External research report
    Restricted access - author's decision
    Dynamic traffic models require dynamic inputs, and one of the main inputs are the Dynamic Origin-Destinations (OD) matrices describing the variability over time of the trip patterns across the network. The Dynamic OD Matrix ...

  • Investigating the quality of Spiess-like and SPSA approaches for dynamic OD matrix estimation 

    Ros Roca, Xavier; Montero Mercadé, Lídia; Barceló Bugeda, Jaime (2020-01-01)
    Article
    Open Access
    Since OD matrices are not directly observable, indirect procedures have been developed to estimate OD matrices from traffic data. Traffic management must move toward dynamic traffic assignment models because they capture ...

  • Modeling the coronavirus disease 2019 incubation period: impact on quarantine policy 

    Pak, Daewoo; Langohr, Klaus; Ning, Jing; Cortés Martínez, Jordi; Gómez Melis, Guadalupe; Shen, Yu (Multidisciplinary Digital Publishing Institute (MDPI), 2020-09-21)
    Article
    Open Access
    The incubation period of coronavirus disease 2019 (COVID-19) is not always observed exactly due to uncertain onset times of infection and disease symptoms. In this paper, we demonstrate how to estimate the distribution of ...

  • Forecasting performance of cruise passengers : the Spanish ports case 

    Grifoll Colls, Manel; Sánchez Espigares, Josep Anton; Feng, Hongxiang (2021-01-01)
    Article
    Restricted access - publisher's policy
    This contribution examines the passenger forecasting performance of the SARIMA method applied to cruise activities in the main Spanish ports. In this port system, the cruise activity market is characterized by different ...

  • Improving parking availability information using deep learning techniques 

    Arjona Martínez, Jamie; Linares Herreros, María Paz; Casanovas Garcia, Josep; Vázquez Giménez, Juan José (Elsevier, 2020)
    Article
    Open Access
    Urban traffic currently affects the quality of life in cities and metropolitan areas as the problem becomes ever more aggravated by parking issues: congestion increases due to individuals looking for slotsto park their ...

  • A comparison of deep learning methods for urban traffic forecasting using floating car data 

    Vázquez Giménez, Juan José; Arjona Martínez, Jamie; Linares Herreros, María Paz; Casanovas Garcia, Josep (Elsevier, 2020)
    Article
    Open Access
    Cities today must address the challenge of sustainable mobility, and traffic state forecasting plays a key role in mitigating traffic congestion in urban areas. For example, predicting path travel time is a crucial issue ...

  • Multi-domain urban-scale energy modelling tools: a review 

    Sola Saura, Alaia; Corchero García, Cristina; Salom Tormo, Jaume; Sanmartí Cardona, Manel (Elsevier, 2020-03)
    Article
    Open Access
    The development of Urban-Scale Energy Modelling (USEM) at district or city level is today the goal of many research groups due to the increased interest in applications such as new strategies for city energy supply/demand, ...

  • Mosaic normality test 

    Sánchez Espigares, Josep Anton; Grima Cintas, Pedro; Marco Almagro, Lluís (2020-03-06)
    Article
    Open Access
    A procedure is proposed here for jointly visualizing the compatibility of a sample with a family of Skewed Exponential Power Distributions, of which the distributions known as Normal, Exponential, Laplace and Uniform are ...

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