Big data analytics for time-critical mobility forecasting : from raw data to trajectory-oriented mobility analytics in the aviation and maritime domains / George A. Vouros, Gennady Andrienko, Christos Doulkeridis, Nikolaos Pelekis, Alexander Artikis, Anne-Laure Jousselme, Cyril Ray, Jose Manuel Cordero, David Scarlatti, editors.

This book provides detailed descriptions of big data solutions for activity detection and forecasting of very large numbers of moving entities spread across large geographical areas. It presents state-of-the-art methods for processing, managing, detecting and predicting trajectories and important ev...

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Bibliographic Details
Other Authors:	Vouros, George A.
Format:	eBook
Language:	English
Published:	Cham : Springer, 2020.
Subjects:	Transportation > Data processing. Big data. Transportation > Data processing Big data Database management Mathematical statistics Traffic engineering Transportation engineering Electronic books.
Online Access:	Click for online access

Table of Contents:

Intro
Preface
Acknowledgements
Contents
Editors and Contributors
About the Editors
Contributors
Acronyms
Part I Time Critical Mobility Operations and Data: A Perspective from the Maritime and Aviation Domains
1 Mobility Data: A Perspective from the Maritime Domain
1.1 Maritime Operational Scenarios: Challenges and Requirements
1.1.1 Monitoring Fishing Activities
1.1.1.1 Secured Fishing
1.1.1.2 Maritime Sustainable Development
1.1.1.3 Maritime Security
1.1.2 Maritime Situational Indicators
1.2 Big Mobility Data in the Maritime Domain
1.2.1 Maritime Big Data Challenges
1.2.1.1 Variety
1.2.1.2 Veracity
1.2.1.3 Volume
1.2.1.4 Velocity
1.2.1.5 Context
1.2.2 Heterogeneous Integrated Dataset for Maritime isr
1.2.2.1 Navigation-Related Data
1.2.2.2 Vessel Data
1.2.2.3 Geographic Data
1.2.2.4 Environmental Data
1.2.3 Generating Operational Scenario for Experiments
1.3 Conclusions
References
2 The Perspective on Mobility Data from the Aviation Domain
2.1 Introduction
2.2 Trajectory Prediction Approaches in the Aviation Domain
2.2.1 Kinematic Trajectory Prediction Approach
2.2.2 Kinetic Trajectory Prediction Approach
2.2.3 Data-Driven Trajectory Prediction Approaches
2.3 Aviation Datasets
2.4 Reconstructed Trajectory
2.4.1 Aircraft Intent
2.4.2 The Trajectory Reconstruction Process
2.5 Aviation Operational Scenarios: Big Data Challenges and Requirements
2.5.1 Regulations Detection and Prediction
2.5.2 Demand and Capacity Imbalance Detection and Prediction
2.5.3 Trajectory Prediction: Preflight
2.5.4 Trajectory Prediction: Real Time
2.6 Conclusions
References
Part II Visual Analytics and Trajectory Detection and Summarization: Exploring Data and Constructing Trajectories
3 Visual Analytics in the Aviation and Maritime Domains
3.1 Introduction
3.2 Related Work
3.3 Visual Exploration of Data Quality
3.4 Examples of Visual Analytics Processes
3.4.1 Detection and Analysis of Anchoring Events in Maritime Traffic
3.4.2 Exploring Separation of Airport Approach Routes
3.4.3 Revealing Route Choice Criteria of Flight Operators
3.4.4 Understanding Airspace Configuration Choices
3.5 Discussion and Conclusion
References
4 Trajectory Detection and Summarization over Surveillance Data Streams
4.1 Introduction
4.2 Related Work
4.3 Streaming Data Sources in Maritime and AviationSurveillance
4.3.1 Maritime Data Sources
4.3.2 Aviation Data Sources
4.4 System Overview
4.4.1 Trajectory Representation
4.4.2 Framework Architecture
4.5 Online Processing of Streaming Trajectories
4.5.1 Trajectory Construction
4.5.1.1 Noise Reduction
4.5.1.2 Mobility State Maintenance
4.5.2 Trajectory Summarization
4.5.2.1 Mobility Events on (x, y) Dimensions
4.5.2.2 Mobility Events on z-Dimension

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