Objetivo In order to understand the nature of complex and collective dynamics of pedestrians during normal and evacuation situations, mathematical models and simulation tools are essential. Compared to vehicular flows, pedestrian movements show a more complex behavior, mainly because they are essentially two-dimensional and not limited to specific lanes. Moreover, in pedestrian dynamics, collective dynamics will be formed from individual human nonlinear interactions. Specifically, pedestrian behavior is the result of a series of interdependent decisions which are based on a specific plan. The plan is a latent (unobserved) variable resulting in a series of (observed) actions. However, in state-of-the-art pedestrian flow models, the latent plans and some observed actions are ignored. When it is implemented in simulation software, this leads to an unrealistic representation of individual pedestrian movements and collective crowd dynamics. In order to overcome this issue, a framework for integrated pedestrian behavior modeling based on the concepts of a short-term plan and action, is proposed. This framework integrates the following sub-models: Target Destination Choice Model, Pedestrian Route Choice Model, Pedestrian Pace State Model, and a Pedestrian Movement Model. It captures pedestrians' planning capabilities and interdependent decisions. The parameters of all the components of the framework are estimated jointly by observed pedestrian trajectories using maximum-likelihood theory. Finally, the above behavioral models will be incorporated in the traffic simulator, MovSim (Multi-model open-source vehicular-traffic Simulator developed by Technical University Dresden -TUD) to simulate the normal and evacuation pedestrian environment. This tool will be useful to develop guidelines for local authorities and organizers of mass events in larger cities of Europe and for designing the pedestrian facilities. Ámbito científico humanitiesartsmusicologypopular music studiesengineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringroboticsautonomous robotsdronesnatural sciencescomputer and information sciencessoftwaresoftware applicationssimulation softwaresocial sciencespolitical sciencesgovernment systemsnatural sciencesmathematicsapplied mathematicsmathematical model Programa(s) H2020-EU.1.3. - EXCELLENT SCIENCE - Marie Skłodowska-Curie Actions Main Programme H2020-EU.1.3.2. - Nurturing excellence by means of cross-border and cross-sector mobility Tema(s) MSCA-IF-2014-EF - Marie Skłodowska-Curie Individual Fellowships (IF-EF) Convocatoria de propuestas H2020-MSCA-IF-2014 Consulte otros proyectos de esta convocatoria Régimen de financiación MSCA-IF-EF-ST - Standard EF Coordinador TECHNISCHE UNIVERSITAET DRESDEN Aportación neta de la UEn € 171 460,80 Dirección HELMHOLTZSTRASSE 10 01069 Dresden Alemania Ver en el mapa Región Sachsen Dresden Dresden, Kreisfreie Stadt Tipo de actividad Higher or Secondary Education Establishments Enlaces Contactar con la organización Opens in new window Sitio web Opens in new window Participación en los programas de I+D de la UE Opens in new window Red de colaboración de HORIZON Opens in new window Coste total € 171 460,80