Method and system for predicting the total quantity of shared bicycles

Method and system for predicting the total quantity of shared bicycles

The invention provides a method and system for predicting the total quantity of shared bicycles, and the method comprises the steps: obtaining the travel demand quantity of the shared bicycles in a planning year through a transfer rate method based on the travel quantities of all traffic modes in th...

Ausführliche Beschreibung

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Bibliographische Detailangaben
Hauptverfasser: BAO YUANQIU, GU TIANQI, ZHANG HAIJUN, ZHUANG CHUTIAN, XU HUI, LI JIN, JIANG YONGDONG, ZHOU YUMENG, ZHANG PENGPENG
Format: Patent
Sprache:chi ; eng
Schlagworte:
CALCULATING
COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS
COMPUTING
COUNTING
DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES
PHYSICS
SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR
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Beschreibung
Zusammenfassung:The invention provides a method and system for predicting the total quantity of shared bicycles, and the method comprises the steps: obtaining the travel demand quantity of the shared bicycles in a planning year through a transfer rate method based on the travel quantities of all traffic modes in the planning year, and calculating the total demand quantity of the shared bicycles in the planning year according to the travel demand quantity of the shared bicycles and the turnover rate of the shared bicycles; constructing an inference model based on machine learning based on the city features ofthe similar cities and the use features of the shared bicycles, substituting the inference model into the city features of the target city, and measuring and calculating the reference scale of the shared bicycles of the target city; and comparing the total demand quantity of the shared bicycles and the reference scale of the shared bicycles with similar cities, and determining the reasonable totalquantity of the shared bi