Handbook of mobility data mining. Volume Two, Mobility analytics and prediction /

"Handbook of Mobility Data Mining, Volume Two: Mobility Analytics and Prediction introduces the fundamental technologies of mobile big data mining (MDM), advanced AI methods, and upper-level applications, helping readers comprehensively understand MDM with a bottom-up approach. The book explain...

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Bibliographic Details
Corporate Author: ScienceDirect (Online service)
Other Authors: Zhang, Haoran (College teacher) (Editor)
Format: eBook
Language:English
Published: Amsterdam, Netherlands ; Oxford, United Kingdom ; Cambridge MA : Elsevier, [2023]
Subjects:
Online Access:Connect to the full text of this electronic book
Description
Summary:"Handbook of Mobility Data Mining, Volume Two: Mobility Analytics and Prediction introduces the fundamental technologies of mobile big data mining (MDM), advanced AI methods, and upper-level applications, helping readers comprehensively understand MDM with a bottom-up approach. The book explains how to preprocess mobile big data, visualize urban mobility, simulate and predict human travel behavior, and assess urban mobility characteristics and their matching performance as conditions and constraints in transport, emergency management, and sustainability development systems. The book introduces how to design MDM platforms that adapt to the evolving mobility environment and new types of transportation and users."--Provided by Publisher.
Physical Description:1 online resource : illustrations (some color)
Bibliography:Includes bibliographical references and index.
ISBN:0443184259
9780443184253