Buch, Englisch, 300 Seiten, Format (B × H): 228 mm x 152 mm, Gewicht: 382 g
Data Preprocessing and Visualization
Buch, Englisch, 300 Seiten, Format (B × H): 228 mm x 152 mm, Gewicht: 382 g
ISBN: 978-0-443-18428-4
Verlag: Elsevier - Health Sciences Division
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.
Zielgruppe
<p>Researchers, engineers, operators, company administrators, and policymakers on transportation, environment, urban planning, data mining, and sustainability</p> <p>Transport-mobility planners, the road and vehicle industry, urban management authorities, transportation institutes, traffic police, public and goods transport operators; masters and Ph.D. students pursuing research in the area of mobility and transportation</p>
Autoren/Hrsg.
Fachgebiete
Weitere Infos & Material
1. Mobility Data Preprocessing and Visualization: Concept, Theory, and Framework 2. Mobility Data Sources 3. Trajectory Map-Matching 4. Noise Filtering of Mobility Data 5. Trajectory Data Segmentation 6. Stop-Move Detection of Trajectorty Data 7. Travel Mode Detection of Trajectorty Data 8. Mobility Data Quality Assessment 9. Modifiable Areal Unit Problem 10. Mobility Data Management and Visualization