Objective 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. Fields of science humanitiesartsmusicologypopular music studiesengineering and technologyelectrical engineering, electronic engineering, information engineeringelectronic engineeringroboticsautonomous robotsdronesnatural sciencescomputer and information sciencessoftwaresoftware applicationssimulation softwaresocial sciencespolitical sciencesgovernment systemsnatural sciencesmathematicsapplied mathematicsmathematical model Programme(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 Topic(s) MSCA-IF-2014-EF - Marie Skłodowska-Curie Individual Fellowships (IF-EF) Call for proposal H2020-MSCA-IF-2014 See other projects for this call Funding Scheme MSCA-IF-EF-ST - Standard EF Coordinator TECHNISCHE UNIVERSITAET DRESDEN Net EU contribution € 171 460,80 Address HELMHOLTZSTRASSE 10 01069 Dresden Germany See on map Region Sachsen Dresden Dresden, Kreisfreie Stadt Activity type Higher or Secondary Education Establishments Links Contact the organisation Opens in new window Website Opens in new window Participation in EU R&I programmes Opens in new window HORIZON collaboration network Opens in new window Total cost € 171 460,80