Shared bicycle space-time layout determination method based on clustering

• Main Authors: MEI ZHENYU, GONG JINRUI, TANG WEI, ZHANG HONGYANG, CAO YUEXIAN
• Format: Patent
• Language: Chinese; English
• Published: 14.03.2023
• Subjects: CALCULATING; COMPUTING; COUNTING; DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FORADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORYOR FORECASTING PURPOSES; ELECTRIC DIGITAL DATA PROCESSING; PHYSICS; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE,COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTINGPURPOSES, NOT OTHERWISE PROVIDED FOR

The invention discloses a shared bicycle space-time layout determination method based on clustering, and belongs to the technical field of intelligent traffic. According to the method, firstly, the current situation of the public bicycle is systematically analyzed, the characteristics of an existing public bicycle system are known, and a buffer area is established through Arcmap software; secondly, using fuzzy C-means clustering analysis to cluster the shared bicycle stations according to the time difference of daily use to obtain the activity feature conditions of various shared bicycle clusters; and finally, based on the POI, performing regression analysis by adopting a binary Logit model to obtain location features of the parking layout of the shared bicycles. According to the invention, an effective basis is provided for a traveler to make a better travel decision, the demands of public bicycles are reasonably distributed, and the traffic environment is improved. 本发明公开了一种基于聚类的共享单车时空布局确定方法，属于智能交通技术领域。本发明首先