Traffic Instabilities in Self-Organized Pedestrian Crowds
نویسندگان
چکیده
منابع مشابه
Traffic Instabilities in Self-Organized Pedestrian Crowds
In human crowds as well as in many animal societies, local interactions among individuals often give rise to self-organized collective organizations that offer functional benefits to the group. For instance, flows of pedestrians moving in opposite directions spontaneously segregate into lanes of uniform walking directions. This phenomenon is often referred to as a smart collective pattern, as i...
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Pedestrian crowds can very realistically be simulated with a social force model which describes the different influences affecting individual pedestrian motion by a few simple force terms. The model is able to reproduce the emergence of several empirically observed collective patterns of motion. These self-organization phenomena can be utilized for new flow optimization methods which are indisp...
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A continuum model for self-organized dynamics is numerically investigated. The model describes systems of particles subject to alignment interaction and shortrange repulsion. It consists of a non-conservative hyperbolic system for the density and velocity orientation. Short-range repulsion is included through a singular pressure which becomes infinite at the jamming density. The singular limit ...
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Traffic jam caused by self-propelled particles is a research topic of broad interest. Cellular automata models are used for the simulation and analysis. One of the popular models is the floor field model. We add the rule of avoiding high density among particles to the model and show that it enables simulating a more realistic situation.
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ژورنال
عنوان ژورنال: PLoS Computational Biology
سال: 2012
ISSN: 1553-7358
DOI: 10.1371/journal.pcbi.1002442