This book addresses the use of existing and emerging electronic payment technologies within a smart city in the context of the clear and proven value these systems have demonstrated in improving transportation. It addresses such question as How does the toll gantry work? How does it read the transponder tag and deduct the correct amount? How do cities harness the transaction data from mass transit to better meet the demand during peak hours? What can city planners do to make trip scheduling and payments seamless, so commuters can go from park-and-ride to mass transit to ride-share with a single payment platform? The volume is technical in nature and describes solid technical solutions to engineers and planners associated with smart cities initiatives. It is specifically designed to support smart city designers and engineers as they develop strategies that incorporate the latest payment system technologies. It will also be of value to private sector payment systems solution providers looking to deliver their products and services to smart cities. In addition, the book supplements technical perspectives with guidance on planning and implementation. For example, it defines procurement approaches for emerging technologies such as crypto currencies and block chain. Rounding out technical detail with advice on policy and the organizational framework required to underpin the technologies, the book delivers practical support to smart city technical practitioners. It further stands as an appropriate text for university courses associated with smart city planning, operations, and urban analytics. This book explores these questions and provides answers that a typical transportation planner can follow. It covers technology topics such as RFID (Radio Frequency ID), ETC (Electronic Toll collection), and ANPR (Automatic Number Plate Recognition). The book also delves into how contactless payment (Near-Field) technologies can be used in a smart city. Blockchain is introduced as a platform that is suitable for solving the problem of payment segregation and shows how the entities in a smart city can work together to provide a seamless payment solution for riders across different modes of transport. The book also covers some theoretical concepts of congestion pricing which students at the university level can apply to city planning projects and research into smart cities. Several examples of US-based and international smart city implementations are provided in the closing chapters which demonstrate new, innovative smart city techniques for the transportation planner.

Don Graham research interests include Smart City Analytics, AI/ML, Congestion pricing, Optimization, and supply chain systems. The focus of his recent research work has been on Smart Cities, Blockchain applications, forecasting for supply chain networks and optimal algorithms for congestion pricing. Don has presented his research at several national conferences such as the Transportation Research Board (TRB). He co-authored a book chapter in Managing Supply Chain Risk and Vulnerability (Springer 2009) and several articles on supply chain forecasting and optimization. He previously served as a Data Science professor at Northwestern University and at the Florida Institute of Technology in Transportation and Logistics for over 10 years, in addition he worked in industry at, Institute for Defense Analysis, Lockheed Martin, and AVIS. Since starting his career as an Electrical Engineer in the Defense Department he progressed professionally to the Transportation and Analytics field, where he has worked, taught and researched for over 20 years, gaining a multidisciplinary background which he leverages across industries. Don completed the BS degree at University of Florida, MS degree in Operations Research at Columbia University and the Ph.D. degree in Transportation at the University of Central Florida.