Title :
A Two-Dimensional Optimal Velocity Model for Unidirectional Pedestrian Flow Based on Pedestrian´s Visual Hindrance Field
Author :
Wei Lv ; Wei-guo Song ; Jian Ma ; Zhi-ming Fang
Author_Institution :
State Key Lab. of Fire Sci., Univ. of Sci. & Technol. of China, Hefei, China
Abstract :
Modeling and simulation of pedestrian movement is a feasible and effective way to evaluate evacuation facilities and risk. Inspired by the visual field and movement characteristic of pedestrians, we developed a 2-D continuous model that integrates a self-slowing, local direction-changing mechanism, and visual hindrance information. The model allows for the movement in continuous space and time, only controlled by simple kinematic equations and visual hindrance distribution. In order to get the parameters of the kinematic equations, we conducted controlled experiments, collected empirical data, and obtained velocity-changing and direction-changing relations. We then validate the model by simulating three experimental scenarios, i.e., passage, bottleneck, and classroom evacuation. It is found that some typical phenomena such as the stop-and-go waves in the passage and lane formation in the bottleneck can be reproduced. The obtained fundamental diagram and specific flow agree with classic conclusions and experimental measures very well. It is hoped that the idea of this study may be helpful in promoting the modeling and simulation study of pedestrian flow.
Keywords :
pedestrians; statistical analysis; 2D continuous model; bottleneck scenario; classroom evacuation scenario; direction-changing relations; kinematic equations; lane formation; local direction-changing mechanism; passage scenario; pedestrian movement modeling; pedestrian movement simulation; pedestrian visual hindrance field; simple kinematic equations; stop-and-go waves phenomenon; two-dimensional optimal velocity model; unidirectional pedestrian flow; velocity-changing relations; visual hindrance distribution; visual hindrance information; Data models; Modeling; Simulation; Velocity measurement; Experiment; model; optimal velocity; pedestrian; simulation; visual field;
Journal_Title :
Intelligent Transportation Systems, IEEE Transactions on
DOI :
10.1109/TITS.2013.2266340