Transportation systems analysis is a multidisciplinary field which draws on engineering, economics, operations research, political science, psychology, management, and other disciplines. The major text synthesizes from these fields an approach that is intellectually coherent and comprehensive. Numerous details are provided to indicate how major concepts can be applied in practice to particular modes and problems. But the major objective of this book is to provide the reader with a basic framework onto which many different areas of specialization can be added by later coursework and practical experience. Fundamentals of Transportation Systems Analysis identifies concepts that are truly fundamental to serious work in the planning, design, or management of transportation systems. It also emphasizes, through more detailed treatment, certain topics, such as transportation demand and performance and the processes of evaluation and choice, that are inadequately treated in the available literature. A unique feature of the book is its emphasis on multimodal solutions to transportation problems. The student is taught to view the transportation system as a unified whole and to evaluate it within the context of the overall social, economic, and political system of a given region. According to Professor Manheim, "The challenge of transportation systems analysis is to intervene, delicately and deliberately, in the complex fabric of a society to use transport effectively, in coordination with other public and private actions, to achieve the goals of that society."

"This book provides a rigorous and comprehensive coverage of transportation models and planning methods and is a must-have to anyone in the transportation community, including students, teachers, and practitioners." Moshe Ben-Akiva, Massachusetts Institute of Technology.

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