Big Data Analytics for Time-Critical Mobility Forecasting

Explore the cutting-edge insights of "Big Data Analytics for Time-Critical Mobility Forecasting" by George A. Vouros, published by Springer Nature Switzerland AG in 2021. This comprehensive paperback edition spans 361 pages and delves into innovative solutions for processing and managing vast spatio-temporal data. In Part III, Vouros focuses on enriching data streams and seamlessly integrating streamed and archival data to create coherent mobility views. The book also discusses the storage of integrated mobility data within large distributed knowledge graphs, enhancing query-answering efficiency. Perfect for professionals and researchers in the field, this book is an essential resource for anyone looking to deepen their understanding of big data analytics in mobility forecasting.