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

Inactive Publication Date: 2021-01-22
GUANGDONG UCAP INTERNET INFORMATION TECH +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] At present, the allocation and use plan of shared bicycles only relies on simple data statistics and empirical decisions, without the help of big data cleaning, big data mining and big data visualization

Method used

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  • Shared bicycle optimal allocation method based on clustering algorithm, control device, electronic equipment and storage medium thereof
  • Shared bicycle optimal allocation method based on clustering algorithm, control device, electronic equipment and storage medium thereof
  • Shared bicycle optimal allocation method based on clustering algorithm, control device, electronic equipment and storage medium thereof

Examples

Experimental program
Comparison scheme
Effect test

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

The invention provides a shared bicycle optimal allocation method based on a clustering algorithm, a control device, electronic equipment and a storage medium thereof, and belongs to the technical field of public transport planning and data mining. The method is applied to a server and comprises the steps that riding data of shared bicycles in a specific time period are collected, a clustering method is used for predicting and judging riding starting point data and riding terminal point data of a whole city in any time period, and the expected value of a riding target is calculated. Meanwhile,quantitative analysis is conducted on data of riding characteristics such as the riding frequency, the riding time and the riding distance in each area, and data support is provided for efficient utilization of the shared bicycles. According to the method, a clustering algorithm is combined with big data cleaning, big data mining and big data visualization technologies, rapid, efficient and accurate allocation and use of the shared bicycles are realized through large-scale data acquisition and clustering analysis, and a data analysis result is visually presented, so that management is more intuitive and efficient, and the management efficiency is improved. Urban traffic pressure is greatly relieved, and travel needs are optimized increasingly.

Description

technical field [0001] The invention belongs to the technical field of public transport planning and data mining, and in particular relates to a clustering algorithm-based optimal deployment method for shared bicycles, a control device, electronic equipment and a storage medium thereof. Background technique [0002] With the rapid rise of the concept of sharing, shared bicycles have also emerged in response to market needs. In the early days of shared bicycles, it has played a very good role in promoting urban transportation, and has also effectively implemented the environmental protection initiative of low-carbon travel. However, with the continuous expansion of market demand, the number of shared bicycles has increased sharply, and the phenomenon of bicycles being parked at will and lack of management is becoming more and more serious, which gradually has a negative impact on the appearance of the city. How to optimize the allocation and use of shared bicycles and make t...

Claims

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Application Information

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IPC IPC(8): G06Q10/04G06Q10/06G06Q50/26G06Q50/30G06F16/29G06K9/62
CPCG06Q10/04G06Q10/0637G06Q10/0631G06Q50/26G06Q50/30G06F16/29G06F18/23213G06F18/24
Inventor 汪敏严妍肖国泉裴非肖克彭祖剑邵罗树张博
Owner GUANGDONG UCAP INTERNET INFORMATION TECH
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