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.- Presents relevant core technologies of data science and engineering in smart metro station systems- Describes systems based on holographic perception, terminal platform control and highly-autonomous operation- Gives a large number of practical case studies and experimental designs- Introduces state-of-the-art machine learning and data mining methods for smart metro station systems- Offers a comprehensive, up-to-date research solution for the emerging area of smart metro stations
Table of Contents
1. IntroductionPart I Human and smart metro station systems2. Metro traffic flow monitoring and passenger guidance3. Individual behavior analysis and trajectory prediction4. Clustering and anomaly detection of crowd hotspot regionsPart II Environment and smart metro station systems5. Monitoring and deterministic prediction of station humidity6. Monitoring and probabilistic prediction of station temperature7. Monitoring and spatial prediction of multi-dimensional air pollutantsPart III Energy and smart metro station systems8. Time series feature extraction and analysis of metro load9. Characteristic and correlation analysis of metro load10. Metro load prediction and intelligent ventilation control
