Hui Liu, Chao Chen, Yanfei Li

Smart Metro Station Systems

Data Science and Engineering

• Broschiertes Buch

Produktbeschreibung

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.

Produktdetails

• Verlag: Elsevier / Elsevier Science & Technology
• Artikelnr. des Verlages: C2020-0-03944-7
• Seitenzahl: 316
• Erscheinungstermin: 24. Januar 2022
• Englisch
• Abmessung: 153mm x 228mm x 19mm
• Gewicht: 517g
• ISBN-13: 9780323905886
• ISBN-10: 0323905889
• Artikelnr.: 62536233

Autorenporträt

Hui Liu is a Professor of Robotics and Artificial Intelligence, at Central South University, China, as well as a Vice Dean of the Faculty of Traffic and Transportation Engineering, and Director of the Institute of Artificial Intelligence and Robotics (IAIR). He received a Ph.D. in Automation Engineering, and his habilitation, from Rostock University in Germany. He has published more than 70 papers, and holds over 50 patents.

Inhaltsangabe

1. Introduction

Part I Human and smart metro station systems 2. Metro traffic flow monitoring and passenger guidance 3. Individual behavior analysis and trajectory prediction 4. Clustering and anomaly detection of crowd hotspot regions

Part II Environment and smart metro station systems 5. Monitoring and deterministic prediction of station humidity 6. Monitoring and probabilistic prediction of station temperature 7. Monitoring and spatial prediction of multi-dimensional air pollutants

Part III Energy and smart metro station systems 8. Time series feature extraction and analysis of metro load 9. Characteristic and correlation analysis of metro load 10. Metro load prediction and intelligent ventilation control