Pedestrian Traffic Models: from Microscopic Formulation to Coarse-Grained DynamicsAug 15 - 20, 2012Department of Mathematics, NCSU |
ABSTRACTHuman crowds and pedestrian groups exhibit complex and coordinated spatio-temporal patterns such as the spontaneous organization of pedestrian flows into lines and the oscillations of fluxes at gates or intersections. Understanding these phenomena requires a deeper knowledge of the laws governing the interactions of individuals with both themselves and their environment. Although a number of experiments can be found in the literature, the available data does not lend itself well to systematic study. The lack of completeness and varying quality of available experimental data make it nearly impossible to identify the fundamental principles underlying pedestrian behavior. Mathematical modeling and numerical simulation can facilitate the extraction of information from such data, helping to identify relevant observables by which a set of biological hypotheses can be validated. GOALSThe main objective of this research program is to systematically develop and analyze a hierarchy of pedestrian traffic models. The proposed hierarchy of models consists of three levels: (i) Microscopic description, (ii) Mesoscopic description and (iii) Macroscopic PDE description. This KIT (kinetic interaction team) will bring together a group of collaborators to spend 5 days in order to complete the work on pedestrian flow models with slowdown interactions. ORGANIZERS |
CONFIRMED PARTICIPANTS |
INFORMATION FOR PARTICIPANTSDepartment of Mathematics, NCSU (NCSU) Email: chertock@math.ncsu.edu |