Cover for Data Analytics for Intelligent Transportation Systems

Data Analytics for Intelligent Transportation Systems

Book2017

Edited by:

Mashrur Chowdhury, Amy Apon and Kakan Dey

Data Analytics for Intelligent Transportation Systems

Book2017

 

Cover for Data Analytics for Intelligent Transportation Systems

Edited by:

Mashrur Chowdhury, Amy Apon and Kakan Dey

About the book

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Book description

Data Analytics for Intelligent Transportation Systems provides in-depth coverage of data-enabled methods for analyzing intelligent transportation systems that includes detailed cov ... read full description

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  2. Book chapterAbstract only

    Chapter 1 - Characteristics of Intelligent Transportation Systems and Its Relationship With Data Analytics

    Sakib M. Khan, Mizanur Rahman, ... Mashrur Chowdhury

    Pages 1-29

  3. Book chapterAbstract only

    Chapter 2 - Data Analytics: Fundamentals

    Venkat N. Gudivada

    Pages 31-67

  4. Book chapterAbstract only

    Chapter 3 - Data Science Tools and Techniques to Support Data Analytics in Transportation Applications

    Linh B. Ngo

    Pages 69-90

  5. Book chapterAbstract only

    Chapter 4 - The Centrality of Data: Data Lifecycle and Data Pipelines

    Beth Plale and Inna Kouper

    Pages 91-111

  6. Book chapterAbstract only

    Chapter 5 - Data Infrastructure for Intelligent Transportation Systems

    Andre Luckow and Ken Kennedy

    Pages 113-129

  7. Book chapterAbstract only

    Chapter 6 - Security and Data Privacy of Modern Automobiles

    Juan Deng, Lu Yu, ... Richard R. Brooks

    Pages 131-163

  8. Book chapterAbstract only

    Chapter 7 - Interactive Data Visualization

    Chad A. Steed

    Pages 165-190

  9. Book chapterAbstract only

    Chapter 8 - Data Analytics in Systems Engineering for Intelligent Transportation Systems

    Ethan T. McGee and John D. McGregor

    Pages 191-213

  10. Book chapterAbstract only

    Chapter 9 - Data Analytics for Safety Applications

    Yuanchang Xie

    Pages 215-239

  11. Book chapterAbstract only

    Chapter 10 - Data Analytics for Intermodal Freight Transportation Applications

    Nathan Huynh, Majbah Uddin and Chu Cong Minh

    Pages 241-262

  12. Book chapterAbstract only

    Chapter 11 - Social Media Data in Transportation

    Sakib M. Khan, Linh B. Ngo, ... Yan Zhou

    Pages 263-281

  13. Book chapterAbstract only

    Chapter 12 - Machine Learning in Transportation Data Analytics

    Parth Bhavsar, Ilya Safro, ... Dimah Dera

    Pages 283-307

  14. Book chapterNo access

    Index

    Pages 309-316

About the book

Description

Data Analytics for Intelligent Transportation Systems provides in-depth coverage of data-enabled methods for analyzing intelligent transportation systems that includes detailed coverage of the tools needed to implement these methods using big data analytics and other computing techniques. The book examines the major characteristics of connected transportation systems, along with the fundamental concepts of how to analyze the data they produce.

It explores collecting, archiving, processing, and distributing the data, designing data infrastructures, data management and delivery systems, and the required hardware and software technologies. Users will learn how to design effective data visualizations, tactics on the planning process, and how to evaluate alternative data analytics for different connected transportation applications, along with key safety and environmental applications for both commercial and passenger vehicles, data privacy and security issues, and the role of social media data in traffic planning.

Data Analytics for Intelligent Transportation Systems provides in-depth coverage of data-enabled methods for analyzing intelligent transportation systems that includes detailed coverage of the tools needed to implement these methods using big data analytics and other computing techniques. The book examines the major characteristics of connected transportation systems, along with the fundamental concepts of how to analyze the data they produce.

It explores collecting, archiving, processing, and distributing the data, designing data infrastructures, data management and delivery systems, and the required hardware and software technologies. Users will learn how to design effective data visualizations, tactics on the planning process, and how to evaluate alternative data analytics for different connected transportation applications, along with key safety and environmental applications for both commercial and passenger vehicles, data privacy and security issues, and the role of social media data in traffic planning.

Key Features

  • Includes case studies in each chapter that illustrate the application of concepts covered
  • Presents extensive coverage of existing and forthcoming intelligent transportation systems and data analytics technologies
  • Contains contributors from both leading academic and commercial researchers
  • Explains how to design effective data visualizations, tactics on the planning process, and how to evaluate alternative data analytics for different connected transportation applications
  • Includes case studies in each chapter that illustrate the application of concepts covered
  • Presents extensive coverage of existing and forthcoming intelligent transportation systems and data analytics technologies
  • Contains contributors from both leading academic and commercial researchers
  • Explains how to design effective data visualizations, tactics on the planning process, and how to evaluate alternative data analytics for different connected transportation applications

Details

ISBN

978-0-12-809715-1

Language

English

Published

2017

Copyright

Copyright © 2017 Elsevier Inc. All rights reserved.

Imprint

Elsevier

Editors

Mashrur Chowdhury

Amy Apon

Kakan Dey