Название: Big Data Analytics for Time-Critical Mobility Forecasting: From Raw Data to Trajectory-Oriented Mobility Analytics in the Aviation and Maritime Domains
Автор: Editors: Vouros, G.A., Andrienko, G., Doulkeridis, C., Pelekis, N., Artikis, A., Jousselme, A.-L.
Издательство: Springer
Год: 2020
Формат: True PDF
Страниц: 378
Размер: 22.5 Mb
Язык: English
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 events related to moving entities, together with advanced visual analytics methods, over multiple heterogeneous, voluminous, fluctuating and noisy data streams from moving entities, correlating them with data from archived data sources expressing e.g. entities’ characteristics, geographical information, mobility patterns, mobility regulations and intentional data.