Shared bicycle optimal allocation method based on clustering algorithm, control device, electronic equipment and storage medium thereof
A technology for sharing bicycles and clustering algorithms, applied in computing, computer parts, structured data retrieval, etc., can solve problems such as inability to form visualization effects, excessive subjective judgment of data, and inaccurate analysis conclusions. Accurate deployment and use, alleviation of urban traffic pressure, intuitive and efficient management
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Embodiment 1
[0032] see figure 1 , which is a method for optimal deployment of shared bicycles based on a clustering algorithm provided in this embodiment, the examples given are only for explaining the present invention, and are not intended to limit the scope of the present invention. The method specifically includes the following steps:
[0033] S1. Large-scale data collection;
[0034] S2. Clean the data and select features, and use the clustering algorithm to calculate;
[0035] S3. Data visualization effect judgment;
[0036] S4. The effect is good, and the conclusion of optimal allocation of shared bicycles is obtained;
[0037] S5. Otherwise, modify the number of clusters and re-run the algorithm, or modify the parameter values of the cleaned data.
[0038] Among them, the "collection data" mentioned in S1 refers to: reading the riding data from the shared bicycle operation system, most of which are table files.
[0039] Wherein, S2 also includes the following steps:
[004...
Embodiment 2
[0072] see figure 2 , 3 , is a visualization effect diagram of the implementation of the shared bicycle optimization allocation method based on the clustering algorithm through the program provided by this embodiment. The examples cited are only used to explain the present invention, and are not used to limit the scope of the present invention. The method specifically includes the following steps:
[0073] S101. Input the bicycle data of a city into the program, and the program is implemented as follows:
[0074]
[0075]
[0076] S102. Use a clustering algorithm to perform calculations, and the program is implemented as follows:
[0077]
[0078]
[0079] After the program is executed, the data calculation results are as follows:
[0080]
[0081]
[0082] From the data in the above table, it can be known that the specific coordinates of clusters can be obtained through clustering calculation, and the corresponding cluster point coordinates (start and en...
Embodiment 3
[0091] see Figure 4 , a clustering algorithm-based optimal allocation control device 210 for shared bicycles provided in this embodiment, the examples given are only for explaining the present invention, and are not intended to limit the scope of the present invention. The control device specifically includes the following modules:
[0092] Data collection and cleaning module 212: collect riding data from the shared bicycle data source 211, clean incomplete, repetitive, and irrelevant data, obtain standard, clean, and compliant data, select the required time period, and set data cleaning standards. That is, to screen the standard parameter values to screen the effectiveness of the riding characteristics;
[0093] Data mining module 213: use clustering algorithm to mine data features from the filtered data set, obtain feature classification and store in feature classification library;
[0094] Visual presentation module 214: connect the classified data features to obtain t...
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Abstract
Description
Claims
Application Information
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