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.
