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Smart Metro Station Systems : Data Science and Engineering by Ye Li, Chao Chen, Hui Liu, Zhu Duan and Yanfei Li (2022, Trade Paperback)

About this product

Product Identifiers

PublisherElsevier
ISBN-100323905889
ISBN-139780323905886
eBay Product ID (ePID)13057238829

Product Key Features

Publication NameSmart Metro Station Systems : Data Science and Engineering
LanguageEnglish
Publication Year2022
SubjectPublic Transportation, General
TypeTextbook
AuthorYe Li, Chao Chen, Hui Liu, Zhu Duan, Yanfei Li
Subject AreaTransportation
FormatTrade Paperback

Dimensions

Item Length9 in
Item Width6 in

Additional Product Features

Intended AudienceScholarly & Professional
Dewey Edition23
IllustratedYes
Dewey Decimal725.310285
Table Of Content1. 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
SynopsisSmart 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.