Simple Cognitive Heuristics Applied to Modeling Pedestrian Behavior Dynamics

The cognitive, behavior heuristics-based pedestrian model was presented to investigate the collective dynamics of pedestrian system with large number of interacting individuals. Based on representation of perceptual information, we study the effect of speed and density on pedestrian walking behavior. Then, simple behavior heuristics of pedestrian motion was proposed to study the pedestrian adapted walking behavior to the destination. Subsequently, the microscopic simulation was executed, by which the emergence of complex crowd behavior is reproduced, such as lane formation and fundamental diagram was compared with the existing studies. The results show that the curve of the average crowd speed against the density is qualitatively consistent with the reported results at least in the low and intermediate density range. (C) 2012 Published by Elsevier B.V. Selection and/or peer review under responsibility of Beijing Jiaotong University [BJU], Systems Engineering Society of China (SESC)