Now showing items 1-3 of 3

    • Data-driven simulation of pedestrian collision avoidance with a nonparametric neural network 

      Martin, Rafael F.; Parisi, Daniel R. (2020-02)
      "Data-driven simulation of pedestrian dynamics is an incipient and promising approach for building reliable microscopic pedestrian models. We propose a methodology based on generalized regression neural networks, which ...
    • Pedestrian collective motion in competitive room evacuation 

      Garcimartín, Ángel; Pastor, José Martín; Martín-Gómez, César; Parisi, Daniel R.; Zuriguel, Iker (2017-12)
      "When a sizable number of people evacuate a room, if the door is not large enough, an accumulation of pedestrians in front of the exit may take place. This is the cause of emerging collective phenomena where the density ...
    • Sampling from the 𝒢I0 distribution 

      Chan, Debora; Rey, Andrea; Gambini, Juliana; Frery, Alejandro C. (2018-12)
      "Synthetic Aperture Radar (SAR) images are widely used in several environmental applications because they provide information which cannot be obtained with other sensors. The 𝒢I0 distribution is an important model for ...