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| Contribution to a conference proceedings/Contribution to a book | FZJ-2014-06708 |
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2014
Transportation Research Board Annual Meeting Online
Washington
Abstract: Agent based pedestrian simulation models can be distinguished by their granularity. Models that consider the simulation environment as a two dimensional continuous space and perform the simulation in small time steps are usually called microscopic, while models that still represent individual persons but rely on a coarser abstraction of the real world or often called mesoscopic. Macroscopic models only use densities or groups of persons. In many situations a coarse representation is to favor over a finer one because (i) less data has to be collected and processed in order to setup a simulation scenario and (ii) a coarser simulation model usually is less consuming in terms of computational costs compared to a coarser model. Nevertheless, there are still situations where a microscopic simulation is needed and wanted. Examples are crossing pedestrian streams, bidirectional flows at high densities, and the simulation of pedestrians with multiple destinations (e.g. pedestrian movement in shopping malls). One approach that takes advantage of both kinds of models is a hybrid combination in which a microscopic model is applied where needed and a mesoscopic model where plausible. When coupling different models one requirement is that dynamic properties like flow, density and speed are conserved over the models’ boundaries. This work focuses on the hybrid combination of a mesoscopic queuing model and a microscopic model that is based on considering obstacles in velocity space. The main contribution of this work is a method for a hybrid coupling that guaranties dynamic properties like flow, density and speed are conserved over the models’ boundaries. Furthermore, an efficient way to represent the simulation environment and retrieve dynamic information is discussed. The performance of the proposed model is shown based on a hypothetical large-scale scenario.
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