Calibration of pedestrian ingress model based on CCTV surveillance data using machine learning methods
Martina Pálková,
Ondřej Uhlík,
Tomáš Apeltauer
Abstract:Machine learning methods and agent-based models enable the optimization of the operation of high-capacity facilities. In this paper, we propose a method for automatically extracting and cleaning pedestrian traffic detector data for subsequent calibration of the ingress pedestrian model. The data was obtained from the waiting room traffic of a vaccination center. Walking speed distribution, the number of stops, the distribution of waiting times, and the locations of waiting points were extracted. Of the 9 machi… Show more
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