U-Air
Microsoft Research Asia (China) · Zhejiang University · +1 more institution
Abstract
Information about urban air quality, e.g., the concentration of PM2.5, is of great importance to protect human health and control air pollution. While there are limited air-quality-monitor-stations in a city, air quality varies in urban spaces non-linearly and depends on multiple factors, such as meteorology, traffic volume, and land uses. In this paper, we infer the real-time and fine-grained air quality information throughout a city, based on the (historical and real-time) air quality data reported by existing monitor stations and a variety of data sources we observed in the city, such as meteorology, traffic flow, human mobility, structure of road networks, and point of interests (POIs). We propose a…
Citation impact
- FWCI
- 45.42
- Percentile
- 100%
- References
- 15
Authors
3Topics & keywords
- Air quality index
- Beijing
- Computer science
- Classifier (UML)
- Artificial neural network
- Decision tree
- Air pollution
- Random forest
- Sustainable cities and communities