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Mobility Data

Book Description

Mobility of people and goods is essential in the global economy. The ability to track the routes and patterns associated with this mobility offers unprecedented opportunities for developing new, smarter applications in different domains. Much of the current research is devoted to developing concepts, models, and tools to comprehend mobility data and make it manageable for these applications. This book surveys the myriad facets of mobility data, from spatio-temporal data modeling, to data aggregation and warehousing, to data analysis, with a specific focus on monitoring people in motion (drivers, airplane passengers, crowds, and even animals in the wild). Written by a renowned group of worldwide experts, it presents a consistent framework that facilitates understanding of all these different facets, from basic definitions to state-of-the-art concepts and techniques, offering both researchers and professionals a thorough understanding of the applications and opportunities made possible by the development of mobility data.

Table of Contents

  1. Cover
  2. Half Title
  3. Title
  4. Copyright
  5. Table of Contents
  6. List of Contributors
  7. Preface
  8. Acknowledgments
  9. PART I MOBILITY DATA MODELING AND REPRESENTATION
    1. 1 Trajectories and Their Representations
      1. 1.1 Introduction
      2. 1.2 Trajectory: Definition and Application Scenario
      3. 1.3 From Raw Trajectories to Semantic Trajectories
      4. 1.4 Trajectory Patterns and Behaviors
      5. 1.5 Individual, Collective, and Sequence Trajectory Behavior
      6. 1.6 Conclusions
      7. 1.7 Bibliographic Notes
    2. 2 Trajectory Collection and Reconstruction
      1. 2.1 Introduction
      2. 2.2 Tracking Trajectory Data
      3. 2.3 Handling Trajectory Data
      4. 2.4 Reconstructing Trajectories
      5. 2.5 Protecting the Privacy of Individuals’ Positions
      6. 2.6 Conclusions
      7. 2.7 Bibliographic Notes
    3. 3 Trajectory Databases
      1. 3.1 Introduction
      2. 3.2 Data Model and Query Language
      3. 3.3 SECONDO
      4. 3.4 Representations for Sets of Trajectories
      5. 3.5 Indexing
      6. 3.6 Hermes
      7. 3.7 Conclusions
      8. 3.8 Bibliographic Notes
    4. 4 Trajectory Data Warehouses
      1. 4.1 Introduction
      2. 4.2 Data Warehousing
      3. 4.3 Running Example
      4. 4.4 Querying Trajectory Data Warehouses
      5. 4.5 Continuous Fields
      6. 4.6 An Example Trajectory DW: GeoPKDD
      7. 4.7 Conclusions
      8. 4.8 Bibliographic Notes
    5. 5 Mobility and Uncertainty
      1. 5.1 Introduction
      2. 5.2 Causes of Uncertainty in Mobility Data
      3. 5.3 Uncertainty Models for Spatio-Temporal Data
      4. 5.4 Conclusions
      5. 5.5 Bibliographic Notes
  10. PART II MOBILITY DATA UNDERSTANDING
    1. 6 Mobility Data Mining
      1. 6.1 Introduction
      2. 6.2 Local Trajectory Patterns/Behaviors
      3. 6.3 Global Trajectory Models
      4. 6.4 Conclusions
      5. 6.5 Bibliographic Notes
    2. 7 Understanding Human Mobility Using Mobility Data Mining
      1. 7.1 The Mobility Knowledge Discovery Process
      2. 7.2 The M-Atlas System
      3. 7.3 Finding Behavior from Trajectory Data
      4. 7.4 Conclusions
      5. 7.5 Bibliographic Notes
    3. 8 Visual Analytics of Movement: A Rich Palette of Techniques to Enable Understanding
      1. 8.1 Introduction
      2. 8.2 Looking at Trajectories
      3. 8.3 Looking inside Trajectories: Attributes, Events, and Patterns
      4. 8.4 Bird’s Eye on Movement: Generalization and Aggregation
      5. 8.5 Investigation of Movement in Context
      6. 8.6 Conclusions
      7. 8.7 Bibliographic Notes
    4. 9 Mobility Data and Privacy
      1. 9.1 Introduction
      2. 9.2 Basic Concepts for Data Privacy
      3. 9.3 Privacy in Offline Mobility Data Analysis
      4. 9.4 Privacy by Design in Data Mining
      5. 9.5 Conclusions
      6. 9.6 Bibliographic Notes
  11. PART III MOBILITY APPLICATIONS
    1. 10 Car Traffic Monitoring
      1. 10.1 Traffic Modeling and Transportation Science
      2. 10.2 Data-Driven Traffic Models
      3. 10.3 Data Understanding
      4. 10.4 Analysis of Movement Behavior
      5. 10.5 Conclusions
      6. 10.6 Bibliographic Notes
    2. 11 Maritime Monitoring
      1. 11.1 Maritime Context
      2. 11.2 A Monitoring System Based on Data-Mining Processes
      3. 11.3 Conclusions
      4. 11.4 Bibliographic Notes
    3. 12 Air Traffic Analysis
      1. 12.1 Introduction
      2. 12.2 Motivation
      3. 12.3 Data Set Description
      4. 12.4 Direct Manipulation of Trajectories
      5. 12.5 Event Extraction
      6. 12.6 Complex Pattern Extraction Using a Moving Object Database System
      7. 12.7 Conclusions
      8. 12.8 Bibliographic Notes
    4. 13 Animal Movement
      1. 13.1 Introduction
      2. 13.2 The Study of Animal Movement
      3. 13.3 Conclusions
      4. 13.4 Bibliographic Notes
    5. 14 Person Monitoring with Bluetooth Tracking
      1. 14.1 The Difficult Nature of Measuring Human Mobility
      2. 14.2 How Bluetooth Offers an Alternative Solution
      3. 14.3 Case Studies
      4. 14.4 Conclusions
      5. 14.5 Bibliographic Notes
  12. PART IV FUTURE CHALLENGES AND CONCLUSIONS
    1. 15 A Complexity Science Perspective on Human Mobility
      1. 15.1 Models of Human Mobility
      2. 15.2 Social Networks and Human Mobility
      3. 15.3 Conclusions
      4. 15.4 Bibliographic Notes
    2. 16 Mobility and Geo-Social Networks
      1. 16.1 Introduction
      2. 16.2 Geo-Social Data and Mobility
      3. 16.3 Trajectory from Geo-Social Web
      4. 16.4 Geographic Information in Geo-Social Web
      5. 16.5 Open Issues
      6. 16.6 Conclusions
      7. 16.7 Bibliographic Notes
    3. 17 Conclusions
  13. Bibliography
  14. Glossary
  15. Author Index
  16. Subject Index