This practical new book presents the application of “big data” analytics to connected vehicles, smart cities, and transportation systems. This book enables transportation professionals to understand how data analytics can and will expand the design and engineering of connected vehicles and smart cities. Readers find extensive case studies and examples that provide a strong framework focusing on practical application of data sciences and analytic tools for actual projects in the field.

Both federal and private sector investments have a strong interest in the connected vehicle and this book discusses the impact this has on transportation. This book defines urban analytics and modeling, incentives and governance, mobility networks, energy networks, and other attributes and elements that craft a smart city. Readers learn how smart cities impact the application of advanced technologies in urban areas. This book explains how recently passed transportation legislation for the US has a specific emphasis on the use of data for performance management.
 

Review

Bob McQueen's Big Data Analytics for Connected Vehicles and Smart Cities considers how 'big data' analytics apply to smart cities and transit systems, and will particularly interest transportation professionals who want to link data analytics to designing connected vehicles and smart city functions. Case studies and examples accompany details on modeling, governance, energy networks, and other elements of a smart city structure, explaining how such data applies to measuring performance and structuring services based on data results.