Method for predicting public bike user trip purpose based on Bayesian probability model

• Main Authors: MA XINWEI, CAO XIANQI, TAN XU, JI YANJIE, YANG MINGYUAN, JIN YUCHUAN
• Format: Patent
• Language: Chinese; English
• Published: 21.11.2017
• Subjects: CALCULATING; 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

The invention discloses a method for predicting a public bike user trip purpose based on a Bayesian probability model. The method includes the steps of 1) obtaining public bike IC card original data; 2) extracting effective information of the original data; 3) performing questionnaire survey on public bike users and sorting questionnaire data; 4) combining common attributes of the questionnaire data and the IC card original data, for various combinations, using a Bayesian probability model to perform trip purpose prediction on the questionnaire data, and calculating the accuracy rate of prediction; and 5) selecting and using corresponding common attributes when the accuracy rate is the highest to perform trip purpose prediction on public bike IC card swiping data. The method for predicting public bike user trip purpose based on a Bayesian probability model predicts the public bike user trip purpose through the common attributes of the questionnaire data and IC card original card-swiping data, thereby providin