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

Author

Listed:
  • Tang, Tie-Qiao
  • Zhang, Bo-Tao
  • Zhang, Jian
  • Wang, Tao

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.

Suggested Citation

  • Tang, Tie-Qiao & Zhang, Bo-Tao & Zhang, Jian & Wang, Tao, 2019. "Statistical analysis and modeling of pedestrian flow in university canteen during peak period," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 521(C), pages 29-40.
    • Handle: RePEc:eee:phsmap:v:521:y:2019:i:c:p:29-40
    DOI: 10.1016/j.physa.2019.01.060
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    References listed on IDEAS

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    Cited by:

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    2. Sun, Yuqing & Ge, Hongxia & Cheng, Rongjun, 2019. "A car-following model considering the effect of electronic throttle opening angle over the curved road," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 534(C).

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