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

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Yes, you can access Smart Metro Station Systems by Hui Liu,Chao Chen,Yanfei Li,Zhu Duan,Ye Li in PDF and/or ePUB format, as well as other popular books in Technology & Engineering & Transportation & Navigation. We have over one million books available in our catalogue for you to explore.

Information

Publisher

Elsevier

Year

2022

ISBN

9780323907125

Topic

Technology & Engineering

Subtopic

Transportation & Navigation

Index

Technology & Engineering

Cover image
Title page
Table of Contents
Copyright
Preface
Acknowledgments
Chapter 1: Introduction
Chapter 2: Metro traffic flow monitoring and passenger guidance
Chapter 3: Individual behavior analysis and trajectory prediction
Chapter 4: Clustering and anomaly detection of crowd hotspot regions
Chapter 5: Monitoring and deterministic prediction of station humidity
Chapter 6: Monitoring and probabilistic prediction of station temperature
Chapter 7: Monitoring and spatial prediction of multidimensional air pollutants
Chapter 8: Time series feature extraction and analysis of metro loads
Chapter 9: Characteristic and correlation analysis of metro loads
Chapter 10: Metro load prediction and intelligent ventilation control
Index