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

Tie-Qiao Tang, Bo-Tao Zhang, Jian Zhang and Tao Wang

Physica A: Statistical Mechanics and its Applications, 2019, vol. 521, issue C, 29-40

Abstract: 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.

Keywords: University canteen; Peak; Pedestrian flow; Data analysis; Model (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:phsmap:v:521:y:2019:i:c:p:29-40

DOI: 10.1016/j.physa.2019.01.060

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