首页>
外国专利>
Random Forest based Prediction Method and System of Road Surface Condition Using Spatio-Temporal Features
Random Forest based Prediction Method and System of Road Surface Condition Using Spatio-Temporal Features
展开▼
机译：基于随机的森林基于森林的预测方法和道路表面条件系统使用时空特征
展开▼
页面导航
摘要
著录项
相似文献
摘要
The present invention relates to a random forest-based road surface condition prediction method and system using spatiotemporal characteristics, the step of collecting road surface condition data including coordinate information of a road surface condition and a point at which the road surface condition is collected, precipitation of a predetermined area Collecting weather data including information and temperature information, converting coordinate information included in road surface condition data into a predetermined index value, using road surface condition data and meteorological data in which the coordinate information is converted to a predetermined index value And learning a road surface condition prediction model using the training data constructed by using the road surface condition prediction model, and predicting a road surface condition of a road surface condition prediction point using the road surface condition prediction model. Coordinate information may be converted into an index value corresponding to a grid obtained by dividing a predetermined area by a predetermined size. The index value can use Morton Code.
展开▼
