Visitor flow-based social governance resource scheduling method and storage medium

• Main Authors: YUAN HONGQIANG, HU ZHENCAI, YANG CAN, DAI XUEWEN, CHENG LEI, CHEN WEIPING, HUANG RUYING, LI YUTING
• Format: Patent
• Language: Chinese; English
• Published: 19.01.2024
• Subjects: CALCULATING; COMPUTER SYSTEMS BASED ON SPECIFIC COMPUTATIONAL MODELS; 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 provides a social governance resource scheduling method based on human traffic and a storage medium, and relates to the technical field of big data. The method comprises the following steps: collecting people flow data and social governance data in real time to construct a data set; constructing a support vector regression model by taking a human traffic target variable and a plurality of input features related to the human traffic as input variables, and training the support vector regression model based on the data set; according to a support vector regression model obtained by training, determining a target input feature having a great influence on the pedestrian flow; and obtaining a target value combination by adopting a grid search algorithm, and generating a social governance resource scheduling scheme which maximizes the change rate of the human traffic. According to the scheme, the support vector regression model is adopted, the change trend of the human traffic can be predicted, and co