A5048327111- Air Quality Monitoring and Forecasting
- Advanced Technologies in Various Fields
- Autonomous Vehicle Technology and Safety
- Ergonomics and Musculoskeletal Disorders
- Safety Warnings and Signage
- Human-Automation Interaction and Safety
- Innovation Diffusion and Forecasting
- Consumer Retail Behavior Studies
- Educational and Technological Research
- Traffic Prediction and Management Techniques
China Automotive Technology and Research Center
2021-2022
Abstract In order to accurately grasp the influencing factors of consumer product satisfaction with new energy vehicles, this paper uses scenario-based thinking as framework and a large amount multi-source heterogeneous data basis. Dimensional matching is performed on structured data, random forest machine learning method used obtain complete sample reflect overall market characteristics; thus, CatBoost model trained based degree influence each feature analyzed. Through research analysis, it...
In the face of global warming, air pollution, and other difficulties, electric vehicles have become an industry strongly supported by various countries due to their good environmental protection characteristics. context big data, people are exposed more information, convenience brought data is also increasing. Based on this background, development green intelligent getting faster faster. This paper aimed at studying application machine learning algorithms in consumption trends data. proposes...
With the strategy of expanding domestic demand and continuous efforts various policies to promote consumption, automobile market has recovered rapidly, production sales automobiles have increased for many consecutive months, among which performance commercial vehicles is particularly outstanding. At same time, with rapid penetration new energy, intelligent other technologies into vehicle field, also ushered in development opportunities. Improve customer satisfaction vehicles, attract more...