Obtaining Pedestrian Interest Regions Using Experimental Methods

Abstract

In pedestrian simulation, using the region of interest of pedestrians can solve the problem of data redundancy and complexity and lack of representation in the pedestrian saccade range, and establish an efficient pedestrian collision avoidance behavior model. The real-time eye movement data of unidirectional and bidirectional pedestrian flow were collected by eye tracker, and the mathematical models of pedestrian flow density, radius and angle of each region of interest were established. Analyzing the experimental data, it is found that the range of pedestrian interest region is affected by pedestrian density. The angle of the pedestrian interest region is generally not more than 90°, and the radius of the high-interest region and the low-interest region are negatively correlated with the pedestrian density. When the pedestrian density reaches a certain degree, the radius of the high-interest region and the low-interest region approach the fixed value respectively.