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Firefly optimization-based shared bicycle scheduling method, system, device and medium

A firefly optimization and shared bicycle technology, applied in the field of shared bicycle scheduling based on firefly optimization, can solve problems such as vehicle damage, and achieve the effect of time and cost optimization

Pending Publication Date: 2019-11-19
WUHAN UNIV OF SCI & TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0003] However, while citizens enjoy the convenience of shared bicycle riding, the damage and idleness of the vehicles have brought new problems and challenges to city managers and the environment

Method used

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  • Firefly optimization-based shared bicycle scheduling method, system, device and medium
  • Firefly optimization-based shared bicycle scheduling method, system, device and medium
  • Firefly optimization-based shared bicycle scheduling method, system, device and medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0061] Embodiment one, as figure 1 As shown, a shared bicycle scheduling method based on firefly optimization includes the following steps:

[0062] S1: Obtain the original bicycle data information in the dispatching area;

[0063] S2: Perform preprocessing on the original bicycle data information to obtain target bicycle data information, and obtain the positions of multiple target dispatch bicycles in the dispatch area according to the target vehicle data information;

[0064] S3: Obtain the distance function, time function and cost function of the dispatch path according to the positions of all the target dispatched bicycles, and obtain the target dispatch path function according to the distance function, the time function and the cost function;

[0065] S4: Using a multi-objective firefly optimization method to optimize the target scheduling path function, obtain and output the optimal scheduling path of the scheduling area.

[0066] Since there are many damaged or idle ...

Embodiment 2

[0117] Embodiment two, such as Figure 4 As shown, a shared bicycle scheduling system based on firefly optimization, including data acquisition module, data preprocessing module, calculation module, optimization module and output module:

[0118] The data acquisition module is used to acquire the original bicycle data information in the dispatching area;

[0119] The data preprocessing module is used to preprocess the original bicycle data information to obtain target bicycle data information;

[0120] The calculation module is used to obtain the positions of multiple target dispatching bicycles in the dispatching area according to the target bicycle data information, and is also used to obtain the distance function and time of the dispatching path according to the positions of all the target dispatching bicycles. function and a cost function, and obtain a target scheduling path function according to the distance function, the time function and the cost function;

[0121] Th...

Embodiment 3

[0142] Embodiment 3. Based on Embodiment 1 and Embodiment 2, this embodiment also discloses a shared bicycle dispatching device based on firefly optimization, including a processor, a memory, and stored in the memory and can run on the processor. A computer program on the computer program, when the computer program runs, it realizes as figure 1 The specific steps from S1 to S4 are shown.

[0143] Through the computer program stored in the memory and run on the processor, the shared bicycle scheduling of the present invention is realized. Based on the multi-objective firefly optimization method, the damaged and idle vehicles are intelligently managed, and the vehicles can be rationally and scientifically dispatched according to the complex environment. , improve the efficiency of vehicle supervision and operation, and thoroughly improve the industry's vehicle parking, operation and maintenance, safety and other issues, which is conducive to environmental protection, safe travel...

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Abstract

The invention relates to a firefly optimization-based shared bicycle scheduling method, a system, a device and a medium. The method comprises the steps of obtaining original bicycle data information in a scheduling area; preprocessing the original bicycle data information to obtain target bicycle data information, and obtaining positions of a plurality of target scheduling bicycles in the scheduling area according to the target bicycle data information; obtaining a distance function, a time function and a cost function of a scheduling path according to the positions of all the target scheduling single vehicles, and obtaining a target scheduling path function according to the distance function, the time function and the cost function; and optimizing the target scheduling path function by adopting a multi-target firefly optimization method to obtain an optimal scheduling path of the scheduling area, and outputting the optimal scheduling path. Damaged and idle vehicles are intelligently managed, the vehicles can be reasonably and scientifically dispatched according to the complex environment, and the vehicle supervision and operation efficiency is improved.

Description

technical field [0001] The present invention relates to the technical field of shared bicycles, in particular to a shared bicycle scheduling method, system, device and medium based on firefly optimization. Background technique [0002] Under the current environment where the country advocates low-carbon travel, the accelerated development of the sharing economy, and the traditional urban car rental system urgently needs to be combined with the Internet model, shared bicycles, as a new business model, have a positive impact on the urban environment and transportation. In recent years, with the popularity of shared bicycles, this mode of travel has been chosen by more and more people. In 2017, the domestic shared bicycle market reached 10.28 billion yuan, with a growth rate of 736%. There are already more than 30 bicycle brands; In 2018, the scale of the domestic shared bicycle market exceeded 17 billion yuan. In terms of user scale, the number of domestic shared bicycle user...

Claims

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Application Information

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IPC IPC(8): G06Q10/04G06Q30/06G06Q50/30
CPCG06Q10/047G06Q30/0645G06Q50/40
Inventor 魏智锋张樵戴超凡李继钟雷陈欣悦
Owner WUHAN UNIV OF SCI & TECH
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