Modeling crowd behavior is an important challenge for cognitive modelers. Unfortunately, existing computational models are typically not tied to cognitive science theories, and are rarely evaluated against human crowd data. We investigate a general cognitive model of crowd behavior, based on Festinger’s Social Comparison Theory (SCT). We evaluate the SCT model on general pedestrian movement, an...

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...

this research paper lays stress on philosophies of human desire. all the human being has some psychical need in addition to physical needs. and to satisfy the psychical needs, there is a need for stimulants, more in case of exclusive pedestrian precincts. having exclusively pedestrian precincts/cores in city design draws its inspiration from the fact that public zones, accessible to majority of...

Pedestrian detection is an important aspect of autonomous vehicle driving as recognizing pedestrians helps in reducing accidents between the vehicles and the pedestrians. In literature, feature based approaches have been mostly used for pedestrian detection. Features from different body portions are extracted and analyzed for interpreting the presence or absence of a person in a particular regi...

various scaling methods such as relative viscosity, peclet and reynolds scaling were used to find the best scaling law. scaling and modeling of the flow curves of various model emulsions consist of tragacanth gum (tg) (0.5, 1 % wt), oleic acid (5, 10% v/v) and wpi (2, 4 % wt) were investigated and the best models were selected. as these emulsions are non-newtonian, they do not obey the usual, si...