A shared bicycle analysis and scheduling method based on stochastic Petri net model
A technology of shared bicycles and scheduling methods, applied in the computer field, can solve the problem of less research on shared bicycles, and achieve the effect of alleviating parking chaos
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[0023] In order to have a clearer understanding of the technical features, purposes and effects of the present invention, the specific implementation manners of the present invention will now be described in detail with reference to the accompanying drawings.
[0024] Embodiments of the present invention provide a method for analyzing and dispatching shared bicycles based on a stochastic Petri net model.
[0025] Please refer to figure 1 , figure 1 It is a flow chart of a shared bicycle analysis and scheduling method based on a stochastic Petri net model in an embodiment of the present invention, specifically comprising the following steps:
[0026] S101: Use the K-means algorithm to cluster the data of shared bicycles in a certain area according to the density of shared bicycles to obtain hotspot areas, each category is a hotspot area, and output the latitude and longitude coordinates of each category of shared bicycles;
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