Data analytics for intelligent transportation systems /
"Data Analytics for Intelligent Transportation Systems provides in-depth coverage of data-enabled methods for analyzing intelligent transportation systems that includes detailed coverage of the tools needed to implement these methods using big data analytics and other computing techniques. The...
| Corporate Author: | |
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| Other Authors: | , , , , |
| Format: | Book |
| Language: | English |
| Published: |
Amsterdam :
Elsevier,
[2017]
Amsterdam, Netherlands ; Cambridge, MA : [2017] Amsterdam, Netherlands ; Oxford, England ; Cambridge, Massachusetts : 2017 |
| Subjects: |
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| 245 | 0 | 0 | |a Data analytics for intelligent transportation systems / |c edited by Mashrur Chowdhury, Amy Apon, Kakan Dey |
| 264 | 1 | |a Amsterdam : |b Elsevier, |c [2017] | |
| 264 | 1 | |a Amsterdam, Netherlands ; |a Cambridge, MA : |b Elsevier, |c [2017] | |
| 264 | 1 | |a Amsterdam, Netherlands ; |a Oxford, England ; |a Cambridge, Massachusetts : |b Elsevier, |c 2017 | |
| 264 | 4 | |c ©2017 | |
| 300 | |a 1 online resource (404 pages) : |b illustrations (some color) | ||
| 300 | |a 1 online resource (404 pages) | ||
| 300 | |a 1 online resource (xxvii, 316 pages) : |b illustrations, maps | ||
| 300 | |a 1 online resource : |b illustrations | ||
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| 500 | |a Chapter 8. Data Analytics in Systems Engineering for Intelligent Transportation Systems | ||
| 500 | |a Description based on print version record | ||
| 504 | |a Includes bibliographical references and index | ||
| 504 | |a Includes bibliographical references at the end of each chapters and index | ||
| 505 | 0 | |a 1. Characteristics of Intelligent Transportation Systems and Its Relationship With Data Analytics -- 2. Data Analytics: Fundamentals -- 3. Data Science Tools and Techniques to Support Data Analytics in Transportation Applications -- 4. The Centrality of Data: Data Lifecycle and Data Pipelines -- 5. Data Infrastructure for Intelligent Transportation Systems -- 6. Security and Data Privacy of Modern Automobiles -- 7. Interactive Data Visualization -- 8. Data Analytics in Systems Engineering for Intelligent Transportation Systems -- 9. Data Analytics for Safety Applications -- 10. Data Analytics for Intermodal Freight Transportation Applications -- 11. Social Media Data in Transportation -- 12. Machine Learning in Transportation Data Analytics | |
| 505 | 0 | |a Title page; Table of Contents; Copyright; Dedication; About the Editors; About the Contributors; Preface; Acknowledgments; Chapter 1. Characteristics of Intelligent Transportation Systems and Its Relationship With Data Analytics; Abstract; 1.1 Intelligent Transportation Systems as Data-Intensive Applications; 1.2 Big Data Analytics and Infrastructure to Support ITS; 1.3 ITS Architecture: The Framework of ITS Applications; 1.4 Overview of ITS Applications; 1.5 Intelligent Transportation Systems Past, Present, and Future; 1.6 Overview of Book: Data Analytics for ITS Applications | |
| 505 | 8 | |a 3.4 Fundamental Data Types and Structures: Data Frames and List3.5 Importing Data from External Files; 3.6 Ingesting Online Social Media Data; 3.7 Big Data Processing: Hadoop MapReduce; 3.8 Summary; 3.9 Exercises; References; Chapter 4. The Centrality of Data: Data Lifecycle and Data Pipelines; Abstract; 4.1 Introduction; 4.2 Use Cases and Data Variability; 4.3 Data and its Lifecycle; 4.4 Data Pipelines; 4.5 Future Directions; 4.6 Chapter Summary and Conclusions; 4.7 Exercise Problems and Questions; References; Chapter 5. Data Infrastructure for Intelligent Transportation Systems; Abstract | |
| 505 | 8 | |a 5.1 Introduction5.2 Connected Transport System Applications and Workload Characteristics; 5.3 Infrastructure Overview; 5.4 Higher-Level Infrastructure; 5.5 Low-Level Infrastructure; 5.6 Chapter Summary and Conclusions; References; Chapter 6. Security and Data Privacy of Modern Automobiles; Abstract; 6.1 Introduction; 6.2 Connected Vehicle Networks and Vehicular Applications; 6.3 Stakeholders and Assets; 6.4 Attack Taxonomy; 6.5 Security Analysis; 6.6 Security and Privacy Solutions; 6.7 Future Research Directions; 6.8 Summary and Conclusions; 6.9 Exercises; References | |
| 505 | 8 | |a Chapter 7. Interactive Data VisualizationAbstract; 7.1 Introduction; 7.2 Data Visualization for Intelligent Transportation Systems; 7.3 The Power of Data Visualization; 7.4 The Data Visualization Pipeline; 7.5 Classifying Data Visualization Systems; 7.6 Overview Strategies; 7.7 Navigation Strategies; 7.8 Visual Interaction Strategies; 7.9 Principles for Designing Effective Data Visualizations; 7.10 A Case Study: Designing a Multivariate Visual Analytics Tool; 7.11 Chapter Summary and Conclusions; 7.12 Exercises; 7.13 Sources for More Information; References | |
| 505 | 8 | |a Exercise ProblemsReferences; Chapter 2. Data Analytics: Fundamentals; Abstract; 2.1 Introduction; 2.2 Functional Facets of Data Analytics; 2.3 Evolution of Data Analytics; 2.4 Data Science; 2.5 Tools and Resources for Data Analytics; 2.6 Future Directions; 2.7 Chapter Summary and Conclusions; 2.8 Questions and Exercise Problems; References; Chapter 3. Data Science Tools and Techniques to Support Data Analytics in Transportation Applications; Abstract; 3.1 Introduction; 3.2 Introduction to the R Programming Environment for Data Analytics; 3.3 Research Data Exchange | |
| 506 | |a Access restricted by licensing agreement | ||
| 506 | |a License restrictions may limit access | ||
| 506 | |a Restricted for use by site license | ||
| 520 | |a "Data Analytics for Intelligent Transportation Systems provides in-depth coverage of data-enabled methods for analyzing intelligent transportation systems that includes detailed coverage of the tools needed to implement these methods using big data analytics and other computing techniques. The book examines the major characteristics of connected transportation systems, along with the fundamental concepts of how to analyze the data they produce. It explores collecting, archiving, processing, and distributing the data, designing data infrastructures, data management and delivery systems, and the required hardware and software technologies. Users will learn how to design effective data visualizations, tactics on the planning process, and how to evaluate alternative data analytics for different connected transportation applications, along with key safety and environmental applications for both commercial and passenger vehicles, data privacy and security issues, and the role of social media data in traffic planning.Includes case studies in each chapter that illustrate the application of concepts coveredPresents extensive coverage of existing and forthcoming intelligent transportation systems and data analytics technologiesContains contributors from both leading academic and commercial researchersExplains how to design effective data visualizations, tactics on the planning process, and how to evaluate alternative data analytics for different connected transportation applications."--Publisher's description | ||
| 520 | |a “Data Analytics for Intelligent Transportation Systems provides in-depth coverage of data-enabled methods for analyzing intelligent transportation systems that includes detailed coverage of the tools needed to implement these methods using big data analytics and other computing techniques. The book examines the major characteristics of connected transportation systems, along with the fundamental concepts of how to analyze the data they produce. It explores collecting, archiving, processing, and distributing the data, designing data infrastructures, data management and delivery systems, and the required hardware and software technologies. Users will learn how to design effective data visualizations, tactics on the planning process, and how to evaluate alternative data analytics for different connected transportation applications, along with key safety and environmental applications for both commercial and passenger vehicles, data privacy and security issues, and the role of social media data in traffic planning.Includes case studies in each chapter that illustrate the application of concepts coveredPresents extensive coverage of existing and forthcoming intelligent transportation systems and data analytics technologiesContains contributors from both leading academic and commercial researchersExplains how to design effective data visualizations, tactics on the planning process, and how to evaluate alternative data analytics for different connected transportation applications.”--Publisher’s description | ||
| 533 | |a Electronic reproduction |b Amsterdam |n Available via World Wide Web. | ||
| 588 | |a Description based on online resource; title from digital title page (viewed on May 22, 2017) | ||
| 588 | |a Description based on print version record | ||
| 588 | 0 | |a Print version record | |
| 590 | |a Access is available to the Yale community | ||
| 596 | |a 22 | ||
| 650 | 0 | |a Intelligent Transportation Systems | |
| 650 | 0 | |a Intelligent transportation systems |x Data processing | |
| 650 | 0 | |a Intelligent transportation systems | |
| 650 | 7 | |a BUSINESS & ECONOMICS |x Industries |x Transportation |2 bisacsh | |
| 650 | 7 | |a Intelligent transportation systems |2 fast | |
| 650 | 7 | |a Intelligent transportation systems |x Data processing |2 fast | |
| 650 | 7 | |a Intelligent transportation systems |x Data processing |2 fast | |
| 650 | 7 | |a TRANSPORTATION |x Public Transportation |2 bisacsh | |
| 655 | 0 | |a Electronic books | |
| 655 | 4 | |a Electronic books | |
| 700 | 1 | |a Apon, Amy | |
| 700 | 1 | |a Apon, Amy, |e editor | |
| 700 | 1 | |a Chowdhury, Mashrur A | |
| 700 | 1 | |a Chowdhury, Mashrur A., |e editor | |
| 700 | 1 | |a Chowdhury, Mashrur, |e editor | |
| 700 | 1 | |a Dey, Kakan | |
| 700 | 1 | |a Dey, Kakan, |e editor | |
| 710 | 2 | |a ScienceDirect (Online service) | |
| 730 | 0 | |a ProQuest ebook central | |
| 776 | 0 | 8 | |i Print version: |a Chowdhury, Mashrur |t Data Analytics for Intelligent Transportation Systems |d Saint Louis : Elsevier Science,c2017 |z 9780128097151 |
| 776 | 0 | 8 | |i Print version: |t Data analytics for intelligent transportation systems |d Amsterdam : Elsevier, [2017] |z 9780128097151 |w (OCoLC)987420491 |
| 776 | 0 | 8 | |i Print version: |t Data analytics for intelligent transportation systems |d Amsterdam, Netherlands ; Oxford, England ; Cambridge, Massachusetts : Elsevier, c2017 |h approximately 404 pages |z 9780128097151 |w 2016961028 |
| 776 | 0 | 8 | |i Print version: |t Data analytics for intelligent transportation systems |z 9780128097151 |z 0128097159 |w (DLC) 2016961028 |w (OCoLC)ocn987420491 |
| 797 | 2 | |a ProQuest (Firm) | |
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