Forecast models for commercial street pedestrian traffic flow data based on intelligent video analysis

NI Huihui; WU Bohong

doi:10.3981/j.issn.1000-7857.2019.16.009

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Science & Technology Review ›› 2019, Vol. 37 ›› Issue (16) : 74-82. DOI: 10.3981/j.issn.1000-7857.2019.16.009

Exclusive: Modern Emergency Management

Forecast models for commercial street pedestrian traffic flow data based on intelligent video analysis

Author information -

1. Research Laboratory of Safety and Emergency Management, Beijing Municipal Institute of Labour Protection, Beijing 100054, China;
2. Institutes of Science and Development, Chinese Academy of Sciences, Beijing 100190, China;
3. University of Chinese Academy of Sciences, Beijing 100049, China

Abstract

The sampling, the preprocessing, and the modeling for the commercial street pedestrian traffic flow data based on the intelligent video analysis are presented in this paper. The Xidan mall is taken as an example, the by-date grouping-style vertical time series are established, consisting of multi surveillance points and different points-in-time. The modeling and forecast results show that all vertical time series are stationary and of non-white noise with similar ARMA expression formulas, which can be well applied to the forecast of pedestrian traffic flow data.

Key words

intelligent video analysis / commercial street pedestrian traffic flow / forecast model

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NI Huihui, WU Bohong. Forecast models for commercial street pedestrian traffic flow data based on intelligent video analysis[J]. Science & Technology Review, 2019, 37(16): 74-82 https://doi.org/10.3981/j.issn.1000-7857.2019.16.009

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