Shared bicycle management and decision-making method

A technology of shared bicycles and decision-making methods, applied in the field of models, to achieve the effect of reducing operation and maintenance costs

Active Publication Date: 2018-09-28
CHONGQING UNIV OF POSTS & TELECOMM
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

At present, no effective and fast quantitative management method has been found, which can deal with the problems encountere

Method used

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  • Shared bicycle management and decision-making method

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Embodiment Construction

[0067] The technical solutions in the embodiments of the present invention will be described clearly and in detail below with reference to the drawings in the embodiments of the present invention. The described embodiments are only some of the embodiments of the invention.

[0068] The technical scheme that the present invention solves the problems of the technologies described above is:

[0069] S11. In order to quantitatively analyze and point out the areas that need to put shared bicycles, classify the areas according to the different land properties in the area.

[0070] Specifically, refer to the "Guidelines for the Planning of Public Facilities Supporting Standards in Newly-built Areas in Nanjing" to classify areas in Nanjing according to land use functions. Here we are divided into 6 types, namely schools, scenic spots, commercial centers, railway stations, residences, and industrial parks.

[0071] What needs to be explained is that shared bicycles provide bicycle an...

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Abstract

The present invention claims to protect a shared bicycle management and decision-making method. The method comprises: determining a delivery area, collecting parameter data, using a fuzzy comprehensive evaluation model of DEA to construct a membership matrix to determine an indicator level of the delivery area, and supplemented by multi-objective planning, determining the delivery number of bicycles in the delivery area and the delivery number of bicycles in different delivery areas; and using SVM regression and using the collected parameters to determine the function relationship of the delivery number of shared bicycles over time through the mapping of the Gaussian kernel function in the high-dimensional space, and to determine the delivery number of bicycles at different times in the same area. According to the method provided by the present invention, a quantitative decision-making management method is proposed, a FICO based personal credit evaluation system is established, bicycleuse by users is standardized, and through multi-objective planning, an optimal dispatching and repair center is set according to the different delivery points in the region, so that the operation andmaintenance costs can be reduced.

Description

technical field [0001] The invention belongs to models such as fuzzy comprehensive evaluation, multi-objective programming, and SVM regression, and specifically belongs to a decision-making model for managing shared bicycles. Background technique [0002] Internet rental bicycles (that is, shared bicycles) refer to enterprises providing bicycle and bicycle sharing services in campuses, subway stations, bus stations, residential areas, commercial areas, public service areas, etc., and it is a time-sharing rental model. Bike sharing is a new type of sharing economy. Since 2016, with the frantic influx of capital, shared bicycles have ushered in a blowout development, which has played an active role in solving the "last mile" problem of urban transportation and alleviating urban traffic congestion. [0003] With the rapid expansion of enterprises and the vigorous promotion of capital, the number of shared bicycles has expanded rapidly. At present, shared bicycles have become ...

Claims

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Application Information

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IPC IPC(8): G06Q30/06G06Q10/06G06F17/18
CPCG06F17/18G06Q10/06393G06Q30/0645
Inventor 何艾莲代明月李佳俊陈东航
Owner CHONGQING UNIV OF POSTS & TELECOMM
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