Handbook of mobility data mining. Volume One : data preprocessing and visualization / edited by Haoran Zhang.

Format:

Book

Contributor:

Zhang, Haoran (College teacher), editor, contributor.

Language:

English

Subjects (All):

Big data.

Data mining.

Transportation--Data processing.

Transportation.

Mobile communication systems.

Emergency management.

Emergency management--Data processing.

Physical Description:

1 online resource (xiii, 207 pages) : illustrations (chiefly colour), colour maps

Other Title:

Data preprocessing and visualization

Place of Publication:

Amsterdam, Netherlands ; Oxford, United Kingdom ; Cambridge, MA : Elsevier, [2023]

Summary:

"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.Key Features: 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."--Provided by publisher.

Contents:

1. An overview of urban data variety and respective value to urban computing / Hang Yin

2. Quality assessment for big mobility data / Yuhao Yao, Haoran Zhang

3. Noise filter method for mobiletrajectory data / Defan Feng, Haoran Zhang, Xuan Song

4. Modifiable areal unit problem in grided population density map / Yuhao Yao, Haoran Zhang

5. Few-shot count estimation of mobility dynamics by scaling GPS / Xiaodan Shi, Haoran Zhang, Quanjun Chen, Ryosuke Shibasaki

6. Trip segmentation and mode detection for human mobility data / Yuhao Yao, Haoran Zhang, Qi Chen

7. Benchmark of travel mode detection with smartphone GPS trajectories / Jinyu Chen, Wenjing Li, Qing Yu, Ryosuke Shibasaki, Haoran Zhang

8. Trajectory super-resolution methods / Xudong Shen, Dou Huang, Peiran Li, Ning Xu

9. Map-matching for low accuracy trajectory data / Yuhao Yao, Haoran Zhang

10. Social information labeling for individual mobile phone user / Chen Zhiheng

11. Web-based spatio-temporal datavisualization technology forurban digital twin / Qing Yu, Wen-Long Shang, Jinyu Chen, Haoran Zhang.

Notes:

Includes bibliographical references and index.

Description based on online resource (viewed 4 April 2024) publisher metadata and other sources.

Other Format:

Print version: Handbook of mobility data mining. Volume 1, Data preprocessing and visualization.

ISBN:

9780443184291

0443184291

OCLC:

1368312475