Cover for Mobility Patterns, Big Data and Transport Analytics

Mobility Patterns, Big Data and Transport Analytics

Tools and Applications for Modeling

Book2019

Edited by:

Constantinos Antoniou, Loukas Dimitriou and Francisco Pereira

Mobility Patterns, Big Data and Transport Analytics

Tools and Applications for Modeling

Book2019

 

Cover for Mobility Patterns, Big Data and Transport Analytics

Edited by:

Constantinos Antoniou, Loukas Dimitriou and Francisco Pereira

About the book

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Book description

Mobility Patterns, Big Data and Transport Analytics provides a guide to the new analytical framework and its relation to big data, focusing on capturing, predicting, visualizing an ... read full description

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  1. Full text access
  2. Book chapterAbstract only

    Chapter 1 - Big Data and Transport Analytics: An Introduction

    Constantinos Antoniou, Loukas Dimitriou and Francisco Câmara Pereira

    Pages 1-5

  3. Book chapterNo access

    Conclusions

    Constantinos Antoniou, Loukas Dimitriou and Francisco Pereira

    Pages 415-417

  4. Book chapterNo access

    Index

    Pages 419-432

About the book

Description

Mobility Patterns, Big Data and Transport Analytics provides a guide to the new analytical framework and its relation to big data, focusing on capturing, predicting, visualizing and controlling mobility patterns - a key aspect of transportation modeling. The book features prominent international experts who provide overviews on new analytical frameworks, applications and concepts in mobility analysis and transportation systems. Users will find a detailed, mobility ‘structural’ analysis and a look at the extensive behavioral characteristics of transport, observability requirements and limitations for realistic transportation applications and transportation systems analysis that are related to complex processes and phenomena.

This book bridges the gap between big data, data science, and transportation systems analysis with a study of big data’s impact on mobility and an introduction to the tools necessary to apply new techniques.

The book covers in detail, mobility ‘structural’ analysis (and its dynamics), the extensive behavioral characteristics of transport, observability requirements and limitations for realistic transportation applications, and transportation systems analysis related to complex processes and phenomena. The book bridges the gap between big data, data science, and Transportation Systems Analysis with a study of big data’s impact on mobility, and an introduction to the tools necessary to apply new techniques.

Mobility Patterns, Big Data and Transport Analytics provides a guide to the new analytical framework and its relation to big data, focusing on capturing, predicting, visualizing and controlling mobility patterns - a key aspect of transportation modeling. The book features prominent international experts who provide overviews on new analytical frameworks, applications and concepts in mobility analysis and transportation systems. Users will find a detailed, mobility ‘structural’ analysis and a look at the extensive behavioral characteristics of transport, observability requirements and limitations for realistic transportation applications and transportation systems analysis that are related to complex processes and phenomena.

This book bridges the gap between big data, data science, and transportation systems analysis with a study of big data’s impact on mobility and an introduction to the tools necessary to apply new techniques.

The book covers in detail, mobility ‘structural’ analysis (and its dynamics), the extensive behavioral characteristics of transport, observability requirements and limitations for realistic transportation applications, and transportation systems analysis related to complex processes and phenomena. The book bridges the gap between big data, data science, and Transportation Systems Analysis with a study of big data’s impact on mobility, and an introduction to the tools necessary to apply new techniques.

Key Features

  • Guides readers through the paradigm-shifting opportunities and challenges of handling Big Data in transportation modeling and analytics
  • Covers current analytical innovations focused on capturing, predicting, visualizing, and controlling mobility patterns, while discussing future trends
  • Delivers an introduction to transportation-related information advances, providing a benchmark reference by world-leading experts in the field
  • Captures and manages mobility patterns, covering multiple purposes and alternative transport modes, in a multi-disciplinary approach
  • Companion website features videos showing the analyses performed, as well as test codes and data-sets, allowing readers to recreate the presented analyses and apply the highlighted techniques to their own data
  • Guides readers through the paradigm-shifting opportunities and challenges of handling Big Data in transportation modeling and analytics
  • Covers current analytical innovations focused on capturing, predicting, visualizing, and controlling mobility patterns, while discussing future trends
  • Delivers an introduction to transportation-related information advances, providing a benchmark reference by world-leading experts in the field
  • Captures and manages mobility patterns, covering multiple purposes and alternative transport modes, in a multi-disciplinary approach
  • Companion website features videos showing the analyses performed, as well as test codes and data-sets, allowing readers to recreate the presented analyses and apply the highlighted techniques to their own data

Details

ISBN

978-0-12-812970-8

Language

English

Published

2019

Copyright

Copyright © 2019 Elsevier Inc. All rights reserved.

Imprint

Elsevier

Editors

Constantinos Antoniou

Technical University of Munich, Munich, Germany

Loukas Dimitriou

University of Cyprus, Nicosia, Cyprus

Francisco Pereira

Technical University of Denmark, Kongens Lyngby, Denmark