Abstract

Pedestrian flow characteristics analysis and model calibration constitute the base and key processes of pedestrian simulation. Field data of pedestrian flow was collected in Chinese comprehensive passenger transport terminal—Xizhimen underground station using video recording, and then selected and analyzed by statistic analysis software SPSS. Parameters relation models for pedestrian flow on different terminal facilities were established based on data statistics. The results show that the pedestrian flow-density relation model is quadratic equation in corridor; the flow-space relation model is quadratic equation when space is below a certain value and is logarithmic equation when space is above the value; the speed-density relation model is linear equation. The models on stairs show the similar characteristics, but the eigenvalue is different. Parameters of social force model were acquired based on these models. Range of semi-major axis of pedestrian ellipse in social force model was ascertained. Considering time pressure as a factor pattern, expect speed in social force model was obtained by multiplying this factor and speed-density function together.

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