Handbook Of Mobility Data Mining Volume 1

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Handbook of Mobility Data Mining, Volume 1

Handbook of Mobility Data Mining, Volume 1
Author :
Publisher : Elsevier
Total Pages : 222
Release :
ISBN-10 : 9780443184284
ISBN-13 : 0443184283
Rating : 4/5 (283 Downloads)

Book Synopsis Handbook of Mobility Data Mining, Volume 1 by : Haoran Zhang

Download or read book Handbook of Mobility Data Mining, Volume 1 written by Haoran Zhang and published by Elsevier. This book was released on 2023-01-15 with total page 222 pages. Available in PDF, EPUB and Kindle. Book excerpt: Handbook of Mobility Data Mining, Volume One: Data Preprocessing and Visualization 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 contains crucial information for researchers, engineers, operators, administrators, and policymakers seeking greater understanding of current technologies' infra-knowledge structure and limitations. Further, the book introduces how to design MDM platforms that adapt to the evolving mobility environment, new types of transportation, and users based on an integrated solution that utilizes sensing and communication capabilities to tackle significant challenges faced by the MDM field. This volume focuses on how to efficiently pre-process mobile big data to extract and utilize critical feature information of high-dimensional city people flow. The book first provides a conceptual theory and framework, then discusses data sources, trajectory map-matching, noise filtering, trajectory data segmentation, data quality assessment, and more, concluding with a chapter on privacy protection in mobile big data mining. Introduces the characteristics of different mobility data sources, like GPS, CDR, and sensor-based mobility data Summarizes existing visualization technologies of the current transportation system into a multi-view frame, covering the perspective of the three leading actors Provides recommendations for practical open-source tools and libraries for system visualization Stems from the editor's strong network of global transport authorities and transport companies, providing a solid knowledge structure and data foundation as well as geographical and stakeholder coverage


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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