Examinando por Autor "Pijoan Lamas, Ander"

Mostrando 1 - 2 de 2
  • Miniatura
    Ítem
    Agent based simulations for the estimation of sustainability indicators
    (Elsevier B.V., 2015) Pijoan Lamas, Ander; Borges Hernández, Cruz E.; Oribe Garcia, Iraia; Martín Andonegui, Cristina; Alonso Vicario, Ainhoa
    We present a methodology to improve the estimation of several Sustainability Indicators based on the measurement of walking distance to infrastructures combining Agent Based Simulation with Volunteer Geographic Information. Joining these two forces we construct a more realistic and accurate distribution of the infrastructures based on knowledge created by citizens and their perceptions instead of official data sources. A Situated Multi-Agent System is in charge of simulating not only the functional disparity and sociodemographic characteristics of the population but also the geographic reality in a dynamic way. Namely, the system will analyze different geographic barriers for each collective bringing new possibilities to improve the assessment of the needs of the population for a more sustainable development of the city. In this article we will describe the methodology to carry on several sustainability indicator measurements and present the results of the proposed methodology applied to several municipalities.
  • Miniatura
    Ítem
    Geoworldsim: A time-asynchronous, distributed and intelligent environment based geosimulation platform
    (Universidad de Deusto, 2018-12-05) Pijoan Lamas, Ander; Alonso Vicario, Ainhoa; Borges Hernández, Cruz E.; Facultad de Ingeniería; Ingeniería para la Sociedad de la Información y Desarrollo Sostenible
    Imagine that the accessibility of the population to public infrastructures needs to be evaluated. A possible solution would be to calculate every distance and analyse which percentage of the population is in less than 300 meters. However, this solution does not take into account issues such as: the age distribution, functional diversity or people’s preferences when transiting the city. It is in these cases when it is necessary to go a step further and integrate Geographic Information Systems with other perspectives such as Multi-Agent Systems which represent the particular characteristics of each individual and their decision making processes. This integration is known as Geosimulation and builds more accurate simulations to model the physical reality together with social, demo graphic and economic components. Geosimulations aim at modelling systems at the scale of individuals and entity-level units of the built environment and provides a way to simulate big amounts of agents interacting in a virtual geographic environment and endowed with spatial cognitive capabilities (perception, navigation, reasoning). This dissertation presents a new Geosimulation platform design and implementation that allows analysing and simulating different urban infrastructures. The platform manages to put into practice the latest theories in Multi-Agent Systems along with the new techniques in cloud computing and asynchronism. The proposed design is evaluated for three case studies; ubiquitous IoT, sustainable transport policies and resilience of the power grid. The methodologies presented, provide progress to their respective research areas by improving state-of-the-art techniques or designing new mechanisms. Furthermore, by connecting these Geosimulations to the real world by sensors and actuators, the concept of mixed reality arises; simulations where changes in the real world are transferred to the virtual world through sensors and agents can influence the real world through actuators. Mixed realities allow developing distributed control systems, which not only take into account the physical reality and social preferences but also the state, where to deploy intelligent agents that provide services to citizens.