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書名:交通大數據分析 英文版
ISBN:9787548752936
出版社:中南大學
著編譯者:王璞 郭寶
叢書名:「一帶一路」鐵路國際人才教育叢書
頁數:245頁
所在地:中國大陸 *此為代購商品書號:1533910
可大量預訂,請先連絡。內容簡介
In this book, Chapter 1 will introduce various types of transportation big data, and the challenges in the transportation big data analysis; Chapter 2 will introduce the data structures and the data properties of common transportation big data; Chapter 3 will introduce the preprocessing methods of transportation big data; Chapter 4 will introduce some useful tools for analyzing transportation networks and human mobility; In Chapter 5, the advantages of data fusion approaches will be discussed, and four transportation data fusion cases will be introduced; and finally Chapter 6 will introduce five transportation big data applications to strengthen readers' understanding of the methods presented in Chapters 2, 3, 4
目錄
Chapter 1 Introduction
1 1 Big data technology
1 2 A brief introduction of transportation big data
1 3 Challenges in the transportation big data analysis
1 4 The applications of transportation big data
1 5 Brief introduction of the following chapters
Chapter 2 Data structures and properties of transportation big data
2 1 Geographic information data
2 2 Vehicle GPS data
2 3 Smart card data
2 4 Vehicle identification data
2 5 Mobile phone data
Chapter 3 Transportation big data preprocessing
3 1 Basic steps of data preprocessing
3 2 Data preprocessing of geographic information data
3 3 Data preprocessing of vehicle GPS data
3 4 Data preprocessing of smart card data
3 5 Data preprocessing of license plate recognition data
3 6 Data preprocessing of mobile phone data for transportation
4 1 A method for generating transportation networks
4 2 Fundamental network analysis tools
4 3 Network modeling and analysis for individual mobility
4 4 Network modeling and analysis of collective mobility
4 5 Network percolation analysis
Chapter 5 Multi-source trans~rtation big data fusion and analysis
5 1 Characteristics of different transportation big data
5 2 Insights for developing transportation big data fusion approaches
5 3 Data fusion of multi-source vehicle GPS data
5 4 Data fusion of LPR data and taxi GPS data
5 5 Data fusion of MS data, subway smart card data and taxi GPS data
Chapter 6 Applications tran~ortation big data
6 1 Application of CDR data in estimating travel demand
6 2 Application of CDR data in identifying vehicle sources
6 3 Applications of transportation big data in deploying congestion mitigation strategies
6 4 Application of transportation big data in anticipating large crowd gatherings
6 5 Application of open-source data in predicting subway passenger flow
References
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