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.
Key Features
- Includes case studies in each chapter that illustrate the application of concepts covered
- Presents extensive coverage of existing and forthcoming intelligent transportation systems and data analytics technologies
- Contains contributors from both leading academic and commercial researchers
- Explains how to design effective data visualizations, tactics on the planning process, and how to evaluate alternative data analytics for different connected transportation applications
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
- Exercise Problems
- References
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
- 3.4 Fundamental Data Types and Structures: Data Frames and List
- 3.5 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
- 5.1 Introduction
- 5.2 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
Chapter 7. Interactive Data Visualization
- Abstract
- 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
Chapter 8. Data Analytics in Systems Engineering for Intelligent Transportation Systems
- Abstract
- 8.1 Introduction
- 8.2 Background
- 8.3 Development Scenario
- 8.4 Summary and Conclusion
- 8.5 Exercises
- 8.6 Appendix A
- References
Chapter 9. Data Analytics for Safety Applications
- Abstract
- 9.1 Introduction
- 9.2 Overview of Safety Research
- 9.3 Safety Analysis Methods
- 9.4 Safety Data
- 9.5 Issues and Future Directions
- 9.6 Chapter Summary and Conclusions
- 9.7 Exercise Problems and Questions
- References
Chapter 10. Data Analytics for Intermodal Freight Transportation Applications
- Abstract
- 10.1 Introduction
- 10.2 Descriptive Data Analytics
- 10.3 Predictive Data Analytics
- 10.4 Summary and Conclusions
- 10.5 Exercise Problems
- 10.6 Solution to Exercise Problems
- References
Chapter 11. Social Media Data in Transportation
- Abstract
- 11.1 Introduction to Social Media
- 11.2 Social Media Data Characteristics
- 11.3 Social Media Data Analysis
- 11.4 Application of Social Media Data in Transportation
- 11.5 Future Research Issues/Challenges for Data Analytics-Enabled Social Media Data
- 11.6 Summary
- 11.7 Conclusions
- 11.8 Exercise Problems
- References
Chapter 12. Machine Learning in Transportation Data Analytics
- Abstract
- 12.1 Introduction
- 12.2 Machine Learning Methods
- 12.3 Understanding Data
- 12.4 Machine Learning Algorithms for Data Analytics
- 12.5 An Example
- 12.6 Summary
- 12.7 Questions and Solutions
- References
- Appendix
- Chilamkurti, Intelligent Vehicular Network and Communications: Fundamentals, Architectures and Solutions, Morgan Kaufmann, Aug 2016, 9780128092668, $89.95
- Kala, On-Road Intelligent Vehicles: Motion Planning for Intelligent Transportation Systems, Butterworth-Heinemann, May 2016, 9780128037294, $110.00
- Chen, Vehicular Communications and Networks: Architectures, Protocols, Operation and Deployment, Woodhead, Apr 2015, 978178242211, $215.00
- Chen and Li, Advances in Intelligent Vehicles, Academic Press, Dec 2013, 9780123971999, $125.00
Intelligent Transportation Systems researchers, practitioners, and graduate students in Transportation and Computer Science
