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The central premise of Design for Transport is that the designer's role is to approach design for transport from the point of view of the user. People have a collection of wants and needs and a significant proportion of them are to do with their requirements for mobility. The authors show how creative designers can take a user-focused approach for a wide range of types of transport products and systems. In so doing their starting point is one of creative dissatisfaction with what is currently available, and their specialist capability is in imagining and developing new solutions which respond to that opportunity. How this is tackled varies depending on the context, and the variety of solutions produced reflects the different aspirations and needs of the people they are designing for. The chapters cover user needs and transport, design and the transport system, transport design case studies, and the case for the automobile. A conclusion briefly signals what the future for transport design might be. Lavishly illustrated throughout in four-colour, Design for Transport, is an imaginative and rigorous guide to how designers can take a user-centred and socially responsible approach to tackling a range of types of transport, from systems to products and from bicycles to automobiles, demonstrating a rich array of solutions through case studies.
From driverless cars to vehicular networks, recent technological advances are being employed to increase road safety and improve driver satisfaction. As with any newly developed technology, researchers must take care to address all concerns, limitations, and dangers before widespread public adoption. Intelligent Transportation and Planning: Breakthroughs in Research and Practice is an innovative reference source for the latest academic material on the applications, management, and planning of intelligent transportation systems. Highlighting a range of topics, such as automatic control, infrastructure systems, and system architecture, this publication is ideally designed for engineers, academics, professionals, and practitioners actively involved in the transportation planning sector.
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.
Sustainable Parking Management provides the latest research findings in the field, encouraging transport planners and policymakers to use parking policy as a tool for managing parking and transport systems. The book teaches up-to-date parking management techniques for selecting parking policies and understanding parking behavior when faced with policy interventions. It shows when to apply each policy, how to include user attitudes in policy definition, and how to model user behavior when refining parking policies. In addition, it stresses the need to reduce overall city driving and the need to allow users to choose the transport mode that best suits their needs. As the growth of cities and car dependency worldwide has led to parking problems resulting in increased traffic congestion, pollution, and overall urban chaos, this book creates a model to help deal with the fallout.
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
There are unique complexities associated with the economic valuation of Intelligent Transportation Systems (ITS) and telematics. Traditional methods of quantitative analysis may not be appropriate in accurately and reliably assessing the economic impacts of these technologies. Although advanced transportation and related technologies are being planned and deployed at an increasingly rapid pace, many of the technologies are still relatively new, and their use may not be widespread. Much of the initial information and statistics gathered have been anecdotal and have focused more on benefits rather than costs. Therefore, difficulties arise due to the lack of historical data and 'lessons learned' from which to draw upon. In addition, compared with traditional transportation infrastructure, ITS technologies have different life cycles, cost structures, and a number of interrelated elements. This book addresses these concerns and proposes new economic assessment techniques as well as modifications to existing ones. Included are case studies from a multitude of North American, European, and Asian nations and major metropolitan areas covering a wide range of ITS technologies including freeway management, electronic toll collection, advanced driver assistance systems, and traveller information systems.