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Abstract
This paper makes a reasonable estimate of the number of charging stations to be set in each charging station by detecting the density of people near the charging station. Due to the shortcomings of traditional MCNNs that are currently commonly used for population density estimation, we added dilated convolution to the traditional MCNN and applied queuing theory to this problem. The population density estimation result of the MCNN incorporating the reduced convolution is used as the input of the aligned flow, so that the number of charging piles in each charging station is more reasonably set.
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1 International School, Beijing University of Posts and Telecommunications, Beijing, China