@conference{10902/10274,
year = {2014},
month = {12},
url = {http://hdl.handle.net/10902/10274},
abstract = {In this paper we present EvacTunnel 3.0 an evacuation model design specifically for road tunnels. The model combines coarse network (space discretization) and a microscopic approach for modeling individual behaviors. Based on Monte Carlo methods, the model has the capability to perform multiple simulations by changing random variables of tunnel users such as pre-movement times and walking speeds. The proposed model allows the user to incorporate the effects of fire into the evacuation simulation (importing fire data/results from another model) and, therefore, predicts the number of people directly affected by the smoke (victims). Three verification cases of the proposed model are shown in this paper: 1) risk analysis application, 2) comparison with other evacuation models and 3) a real case application.},
publisher = {Elsevier},
publisher = {Procedia: Social & Behavioral Sciences, 2014, 162, 208–217},
publisher = {XVIII Congreso Panamericano de Ingeniería de Tránsito, Transporte y Logística (PANAM), Santander, 2014},
title = {An evacuation model for risk analysis in Spanish road tunnels},
author = {Alonso Gutiérrez, Virginia and Abreu Menéndez, Orlando Víctor and Cuesta Jiménez, Arturo and Alvear Portilla, Manuel Daniel},
}