Mobility Data Modeling, Management, and Understanding

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.

Part I. Mobility Data Modeling and Representation: 1. Trajectories and behavior representation: an overview Stefano Spaccapietra, Christine Parent and Laura Spinsanti; 2. Trajectory collection and reconstruction Gerasimos Marketos, Maria Damiani, Nikos Pelekis, Yannis Theodoridis and Zhixian Yan; 3. Trajectory databases Ralf Hartmut Güting, Christian Düntgen and Thomas Behr; 4. Trajectory data warehousing Alejandro Vaisman and Esteban Zimányi; 5. Mobility and uncertainty Claudio Silvestri, Esteban Zimányi and Alessandra Raffaetà; Part II. Mobility Data Understanding: 6. Mobility data mining Mirco Nanni; 7. Understanding human mobility using mobility data mining Chiara Renso and Roberto Trasarti; 8. Visual analytics of movement: a review of methods, tools, and procedures Natalia Andrienko and Gennady Andrienko; 9. Mobility data and privacy Dino Pedreschi and Anna Monreale; Part III. Mobility Applications: 10. Car traffic monitoring Davy Janssens, Salvatore Rinzivillo and Mirco Nanni; 11. Maritime applications Thomas Devogele, Laurent Etienne, Cyril Ray and Christophe Claramunt; 12. Air traffic analysis Christophe Hurter, Gennady Andrienko, Natalia Andrienko, Ralf Güting and Mahmoud Sakr; 13. Animal movement Stefano Focardi and Francesca Cagnacci; 14. Person monitoring with Bluetooth tracking Mathias Versichele, Tijs Neutens and Nico Van de Weghe; Part IV. Future Challenges and Conclusions: 15. A complexity science perspective on human mobility Fosca Giannotti, Luca Pappalardo, Dino Pedreschi and Dashun Wang; 16. Mobility and geo-social networks Laura Spinsanti, Michele Berlingerio and Luca Pappalardo; 17. Conclusions Chiara Renso, Stefano Spaccapietra and Esteban Zimanyi.

Chiara Renso is a permanent researcher at the Institute of Information Science and Technologies at the Italian National Research Council, Italy. Her research interests are related to spatio-temporal data mining, reasoning, data mining query languages, semantic data mining, and trajectory data mining.
Stefano Spaccapietra is an honorary professor at the School of Computer and Communication Sciences, Swiss Federal Institute of Technology, in Lausanne, Switzerland, where he has been chairing the database laboratory for more than twenty years. Together with Christine Parent, he developed MADS, a conceptual spatio-temporal data model equipped with multi-representation support, which gained worldwide renown and has been used in several applications.
Esteban Zimányi is a Professor and Director of the Department of Computer and Decision Engineering of the Université Libre de Bruxelles. His current research interests include business intelligence, geographic information systems, spatio-temporal databases, data warehouses, and Semantic Web. He has co-authored two books and co-edited four books in the domains of spatio-temporal modeling, spatio-temporal data warehouses, and business intelligence.