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Data Analytics for Intelligent Transportation Systems provides in-depth coverage of data-enabled methods for analyzing intelligent transportation systems (ITS), including 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. It presents extensive coverage of existing and forthcoming intelligent transportation systems and data analytics technologies. All fundamentals/concepts presented in this book are explained in the context of ITS. Users will learn everything from the basics of different ITS data types and characteristics to how to evaluate alternative data analytics for different ITS applications. They will discover 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. Data Analytics for Intelligent Transportation Systems will prepare an educated ITS workforce and tool builders to make the vision for safe, reliable, and environmentally sustainable intelligent transportation systems a reality. It serves as a primary or supplemental textbook for upper-level undergraduate and graduate ITS courses and a valuable reference for ITS practitioners. - Utilizes real ITS examples to facilitate a quicker grasp of materials presented - Contains contributors from both leading academic and commercial domains - Explains how to design effective data visualizations, tactics on the planning process, and how to evaluate alternative data analytics for different connected transportation applications - Includes exercise problems in each chapter to help readers apply and master the learned fundamentals, concepts, and techniques - New to the second edition: Two new chapters on Quantum Computing in Data Analytics and Society and Environment in ITS Data Analytics
This one-of-a-kind reference offers you a comprehensive and easy-to-follow introduction to the fundamentals of ITS planning and operations. The book puts special focus on traffic flow issues and principles, and addresses recent security concerns in transportation systems, thus allowing you a greater degree of confidence in the success of your projects before actual implementation.
Implementing Automated Road Transport Systems in Urban Settings provides valuable, objective, often difficult-to-obtain data, gleaned from the largest demonstration project on automated road transport systems (ARTS) in the world to date. The book features chapters authored by those deeply involved in CityMobil2—providing an easily accessible, cross-referenced resource for data and information on each aspect of the project. Chapters cover vehicle technical specifications, infrastructure analysis, operating systems, future scenario analysis, automated and conventional vehicle comparisons, and legal frameworks for system implementation. The book examines project field tests, showing the technology's adaptability and different requirements based on geographic location. Government officials, researchers, and transportation practitioners require real-world data and analysis in their efforts to bring automated and intelligent transport systems into the mainstream. The CityMobil2 demonstration transported more than 60,000 passengers in seven European cities, providing immense amounts of feedback and data to be analyzed. The book provides international expert opinion on this real-world data, highlighting the strengths and weaknesses of the project, as well as providing comparisons to both past and planned ARTS demonstration initiatives. The technical specifications developed from the project will help cities considering similar ARTS initiatives. - Presents real-world data and valuable analysis from CityMobil2, the world's largest demonstration project on automated road transport systems (ARTS) - Assists policy makers seeking to implement their own ARTS, providing technical specifications, infrastructure analysis, as well as legal considerations - Features a companion website with links to CityMobil2 demonstration videos, as well as links to detailed project documents - Presents findings from CityMobil2, such as effects on daily trips per capita, average journey distance, and occupancy rate, and how they can affect the development of future ARTS projects - Provides future ARTS scenario analysis, with information on planned, similar demonstrations
The Intelligent Systems Series encompasses theoretical studies, design methods, and real-world implementations and applications. It publishes titles in three core sub-topic areas: Intelligent Automation, Intelligent Transportation Systems, and Intelligent Computing. Titles focus on professional and academic reference works and handbooks. This volume, Advances in Artificial Transportation Systems and Simulation, covers hot topics including driver assistance systems; cooperative vehicle-highway systems; collision avoidance; pedestrian protection; image, radar and lidar signal processing; and V2V and V2I communications. The readership for the series is broad, reflecting the wide range of intelligent systems interest and application, but focuses on engineering (in particular automation, control, mechatronics, robotics, transportation, automotive, aerospace), electronics and electronic design, and computer science. - Provides researchers and engineers with up to date research results and state-of-the art technologies in the area of intelligent vehicles and transportation systems - Includes case studies plus surveys of the latest research - Covers hot topics including driver assistance systems; cooperative vehicle-highway systems; collision avoidance; pedestrian protection; image, radar and lidar signal processing; V2V and V2I communications