Shared bicycle position prediction method and device and storage medium

The invention relates to a shared bicycle position prediction method and device and a storage medium, and the method comprises the steps: enabling a migration trend matrix between a station and a related cluster to serve as a feature value, integrating the feature value into the position information...

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Bibliographic Details
Main Authors DENG HAO, ZHAO SHENGJIE, JIA WENZHEN
Format Patent
LanguageChinese
English
Published 01.03.2022
Subjects
CALCULATING
CHECKING-DEVICES
COIN-FREED OR LIKE APPARATUS
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
ELECTRIC DIGITAL DATA PROCESSING
HANDLING RECORD CARRIERS
PHYSICS
PRESENTATION OF DATA
RECOGNITION OF DATA
RECORD CARRIERS
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Summary:The invention relates to a shared bicycle position prediction method and device and a storage medium, and the method comprises the steps: enabling a migration trend matrix between a station and a related cluster to serve as a feature value, integrating the feature value into the position information of the station, carrying out the iteration clustering of a shared bicycle data set through employing a fuzzy C-means clustering FCM algorithm, and carrying out the prediction of the position of a shared bicycle. And outputting a shared bicycle movement prediction result. Compared with the prior art, the method has the advantages of being high in accuracy, close to reality and the like. 本发明涉及一种共享单车位置预测方法、设备及存储介质，该方法基于迁移趋势，将站点与该相关簇间的迁移趋势矩阵作为特征值融入到站点位置信息中，采用模糊C均值聚类FCM算法对共享单车数据集进行迭代聚类，从而输出共享单车移动预测结果。与现有技术相比，本发明准确度高的、紧贴实际等具有优点。
Bibliography:Application Number: CN202111120247