Statistical analysis and modeling of pedestrian flow in university canteen during peak period

This paper uses the second canteen of Beihang University to study the statistical features of pedestrian flow during the lunch peak period. We first use camera to collect the pedestrian flow data, then analyze the statistical features of data, thirdly propose a model to explore the pedestrian flow d...

Full description

Saved in:
Bibliographic Details
Published in:Physica A 2019-05, Vol.521, p.29-40
Main Authors: Tang, Tie-Qiao, Zhang, Bo-Tao, Zhang, Jian, Wang, Tao
Format: Article
Language:English
Subjects:
Data analysis
Peak
Pedestrian flow
University canteen
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:This paper uses the second canteen of Beihang University to study the statistical features of pedestrian flow during the lunch peak period. We first use camera to collect the pedestrian flow data, then analyze the statistical features of data, thirdly propose a model to explore the pedestrian flow during the lunch peak period and finally testify the simulation results and the experiment data. The results show that the proposed model can perfectly reproduce the complex traffic phenomena that occur at university canteen during the peak period. The results can help administrators design some effective evacuation strategies when some emergencies occur at university canteen. •The statistical features of the pedestrian data during the peak period at a university canteen are studied.•A simple model is proposed to explore the pedestrian flow during the peak period at the canteen.•Some parameters are calibrated by the data.•Some numerical tests are conducted to testify the reasonability of the proposed model.
ISSN:0378-4371
1873-2119
DOI:10.1016/j.physa.2019.01.060