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

Intelligent Transport Systems (ITS) are the way forward for sustainable growth of mobility at all levels (local, regional, national, transnational). The book reviews the current status of Research & Development. It includes connected (and autonomous) cars and buses, real-world large-scale field trials, data analysis and assessment of technological solutions. Standards and normative aspects in the domain of Electronic Fee Collection and Cooperative Systems oriented to probe data collection, safety and non-safety critical applications in vehicular networks, are studied. The book provides the rational, perspectives, and technical issues for the implementation of ITS solutions in a genuine inter-modal scenario, taking the example of a Mediterranean seaport, actively involved in testing and validation of ITS standards. The novelty of this book is that it covers R&D, standards, and pilots, all under one cover. Rather than stressing the novelty in ICT, the authors have presented the need for system-level integration, assessment of existing (standard) solutions, and piloting experiments in real-world industrial scenarios.

INTELLIGENT TRANSPORT SYSTEMS TECHNOLOGIES AND APPLICATIONS This book provides a systematic overview of Intelligent Transportation Systems (ITS), offering an insight into the reference architectures developed within the main research projects. It delves into each of the layers of such architectures, from physical to application layer, describing the technological issues which are being currently faced by some of the most important ITS research groups. The book concludes with some end-user services and applications deployed by industrial partners. The book is a well-balanced combination of academic contributions and industrial applications in the field of Intelligent Transportation Systems. It includes the most representative technologies and research results achieved by some of the most relevant research groups working on ITS, collated to show the chances of generating industrial solutions to be deployed in real transportation environments.

Intelligent Transportation Systems: Functional Design for Economical and Efficient Traffic Management provides practical guidance on the efficient use of resources in the design of ITS. The author explains how functional design alternatives can meet project objectives and requirements with optimal cost effectiveness and clarifies how transportation planning and traffic diversion principles relate to functional ITS device selections and equipment locations. Methodologies for translating objectives to functional device types, determining device deployment densities and determining the best placement of CCTV cameras and message signs are provided, as are models for evaluating the benefits of design alternatives based on traffic conditions. Readers will learn how to reduce recurrent congestion, improve incident clearance time in non-recurrent congestion, provide real-time incident information to motorists, and leverage transportation management center data for lane control through important new active transportation and demand management (ATDM) methods. Finally, the author examines exciting developments in connected vehicle technologies, exploring their potential to greatly improve safety, mobility and energy efficiency. This resource will greatly benefit all ITS designers and managers and is of pivotal importance for operating agencies performing evaluations to justify operational funding and system expansions.

The Future of Intelligent Transport Systems considers ITS from three perspectives: users, business models and regulation/policy. Topics cover in-vehicle applications, such as autonomous driving, vehicle-to-vehicle/vehicle-to-infrastructure communication, and related applications, such as personalized mobility. The book also examines ITS technology enablers, such as sensing technologies, wireless communication, computational technology, user behavior as part of the transportation chain, financial models that influence ITS, regulations, policies and standards affecting ITS, and the future of ITS applications. Users will find a holistic approach to the most recent technological advances and the future spectrum of mobility.

This book presents a timely description of currently used and proposed technologies that involve the intelligent transport system to assist the manager of large cities. Therefore, it describes all concepts and technologies that address the challenges, bringing up a top-down approach, which begins from the vehicular network and central infrastructure to a distributed structure. For scientists and researchers, this book will bring together the state-of-the-art of the main techniques that involve intelligent transport systems to assist the manager of big cities. For practitioners and professionals, this book will describe techniques which can be put into practice and use to aid the development of new applications and services. Concerning postgraduate students, this book will provide highlights of main concerns and concepts and explain techniques that can assist students to identify challenges that they can explore, contribute to, and advance the current status of technology.

Intelligent Transport Systems (ITS) have been a domain of substantial development for more than thirty years, enhancing safety, (energy and fuel) efficiency, comfort, and economic growth. Cooperative Intelligent Transport Systems (C-ITS), also referred to as Connected Vehicles, are a prelude to, and pave the way towards road transport automation. Vehicle connectivity and information exchange will be an important asset for future highly-automated driving. The book provides a comprehensive insight in the state of the art of C-ITS and automated driving, especially addresses the important role of ICT (Information and Communication Technologies) infrastructure, and presents the main achievements (both theory and practice), as well as the challenges in the domain in Europe, the US and Asia/Pacific.