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Heuristic estimation of pedestrian traffic volumes
Institution:Division of Industrial Engineering, University of the Witwatersrand, WITS 2050, Republic of South Africa.
Abstract:In order to monitor pedestrian volumes in the Johannesburg Central Business District (CBD), a streamlined approach was needed that would provide useable information quickly and cheaply. To this end a computerised model was developed which uses a limited number of observations of pedestrian density in order to compute mean and peak traffic volumes. Although the data input is parsimonious in the extreme, the model has been able to match the accuracy required for pedestrian volume monitoring.
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