Smart Metro Station Systems : Data Science and Engineering Paperback / softback
by Hui (Professor, Director of Institute of Artificial Intelligence and Robotics (IAIR), and Vice- Liu, Chao (Scientist, Leader of Junior Research Group of Smart Environment, School of Traffic and T Chen, Yanfei (Associate Professor, Director of Smart Agriculture, College of Mechanical and Electrical Li, Zhu (Scientist, Leader of Junior Research Group of Smart Transportation, School of Traffic and Duan, Ye (Scientist, Leader of Junior Research Group of Smart Robotics, School of Traffic and Transpor Li
Paperback / softback
- Information
Description
Smart Metro Station Systems: Data Science and Engineering introduces key technologies in data science and engineering for smart metro station systems.
The book consists of three main parts, focusing on the environment, people and energy.
Each chapter includes practical applications, along with information on metro traffic flow monitoring and passenger guidance, methods for behavior analysis and trajectory projection, clustering and anomaly detection in crowd hotspots, monitoring and prediction for station humidity, monitoring and spatial prediction for air pollutants, time series feature extraction and analysis of metro load, characteristic and correlation analysis of metro load, and prediction and intelligent ventilation control. This volume offers a key reference on the emerging area of smart metro stations and will be useful to those working on smart railways, data science, engineering, artificial intelligence and aligned fields.
Information
-
Out of StockMore expected soonContact us for further information
- Format:Paperback / softback
- Pages:316 pages, 270 illustrations (20 in full color); Illustrations, unspecified
- Publisher:Elsevier - Health Sciences Division
- Publication Date:24/01/2022
- Category:
- ISBN:9780323905886
Information
-
Out of StockMore expected soonContact us for further information
- Format:Paperback / softback
- Pages:316 pages, 270 illustrations (20 in full color); Illustrations, unspecified
- Publisher:Elsevier - Health Sciences Division
- Publication Date:24/01/2022
- Category:
- ISBN:9780323905886