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

While much of the transportation systems in Europe and the United States are mature (if not senescent), the rest of the world is still planning, developing, and deploying new systems. The accomplishments and mistakes of places like the United Kingdom and the United States, then, can teach us lessons that may be applied to places where transportation remains nascent or adolescent. The Transportation Experience seeks to understand the genesis of transportation policy in America and the UK, along with the roles that this policy plays as systems are innovated, deployed, and reach maturity, and how policies might be improved.

Transforming Urban Transport brings into focus the origins and implementation pathways of significant urban transport innovations that have recently been adopted in major, democratically governed world cities that are seeking to advance sustainability aims. It documents how proponents of new transportation initiatives confronted a range of administrative, environmental, fiscal, and political obstacles by using a range of leadership skills, technical resources, and negotiation capacities to move a good idea from the drawing board to implementation. The book's eight case studies focus on cities of great interest across the globe--Los Angeles, Mexico City, New York, Paris, San Francisco, Seoul, Stockholm, and Vienna--many of which are known for significant mayor leadership and efforts to rescale power from the nation to the city. The cases highlight innovations likely to be of interest to transport policy makers from all corners, such as strengthening public transportation services, vehicle and traffic management measures, repurposing roads and other urban spaces away from their initial function as vehicle travel corridors, and turning sidewalks and city streets into more pedestrian-friendly places for walking, cycling, and leisure. Aside from their transformative impacts in transportation terms, many of the policy innovations examined here have altered planning institutions, public-private sector relations, civil society commitments, and governance mandates in the course of implementation. In bringing these cases to the fore, Transforming Urban Transport advances understanding of the conditions under which policy interventions can expand institutional capacities and governance mandates, particularly linked to urban sustainability. As such, it is an essential contribution to larger debates about what it takes to make cities more environmentally sustainable and the types of strategies and tactics that best advance progress on these fronts in both the short- and the long-term.

Although society has become increasingly dependent on the timely operation of logistics systems, we still face many problems regarding efficiency, the environment, energy consumption, and safety in urban transport and logistics under normal cases and in disasters. As such, understanding how to address these challenges has become essential for creat

GIS data and tools are revolutionizing transportation research and decision making, allowing transportation analysts and professionals to understand and solve complex transportation problems that were previously impossible. Here, Miller and Shaw present a comprehensive discussion of fundamental geographic science and the applications of these principles using GIS and other software tools. By providing thorough and accessible discussions of transportation analysis within a GIS environment, this volume fills a critical niche in GIS-T and GIS literature.