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This book discusses the recent advanced technologies in Intelligent Transportation Systems (ITS), with a view on how Unmanned Aerial Vehicles (UAVs) cooperate with future vehicles. ITS technologies aim to achieve traffic efficiency and advance transportation safety and mobility. Known as aircrafts without onboard human operators, UAVs are used across the world for civilian, commercial, as well as military applications. Common deployment include policing and surveillance, product deliveries, aerial photography, agriculture, and drone racing. As the air-ground cooperation enables more diverse usage, this book addresses the holistic aspects of the recent advanced technologies in ITS, including Information and Communication Technologies (ICT), cyber security, and service management from principle and engineering practice aspects. This is achieved by providing in-depth study on several major topics in the fields of telecommunications, transport services, cyber security, and so on. The book will serve as a useful text for transportation, energy, and ICT societies from both academia and industrial sectors. Its broad scope of introductory knowledge, technical reviews, discussions, and technology advances will also benefit potential authors.
Researchers developed two scenarios to envision the future of mobility in China in 2030. Economic growth, the presence of constraints on vehicle ownership and driving, and environmental conditions differentiate the scenarios. By making potential long-term mobility futures more vivid, the team sought to help decisionmakers at different levels of government and in the private sector better anticipate and prepare for change.
Autonomous Vehicles and Future Mobility presents novel methods for examining the long term effects on individuals, society, and on the environment on a wide range of forthcoming transport scenarios such self-driving vehicles, workplace mobility plans, demand responsive transport analysis, mobility as a service, multi-source transport data provision, and door-to-door mobility. With the development and realization of new mobility options comes change in long term travel behavior and transport policy. Autonomous Vehicles and Future Mobility addresses these impacts, considering such key areas as attitude of users towards new services, the consequences of introducing of new mobility forms, the impacts of changing work related trips, the access to information about mobility options and the changing strategies of relevant stakeholders in transportation. By examining and contextualizing innovative transport solutions in this rapidly evolving field, Autonomous Vehicles and Future Mobility provides insights into current implementation of these potentially sustainable solutions, serving as general guidelines and best practices for researchers, professionals, and policy makers. Covers hot topics including travel behavior change, autonomous vehicle impacts, intelligent solutions, mobility planning, mobility as a service, sustainable solutions, and more Examines up to date models and applications using novel technologies Contributions from leading scholars around the globe Case studies with latest research results
The book provides background information about technical solutions, processes and methodology to develop future automated mobility solutions. Beginning from the legal requirements as the minimum tolerable risk level of the society, the book provides state-of-the-art risk-management methodologies. The system engineering approach based on todays engineering best practices enhanced by principles derived from cybernetics. The approach derived from the typical behaviour of a human driver in public road traffic to a cybernetical based system engineering approach. Beyond the system engineering approach, a common behaviour model for the operational domain will show aspects how to extend the system engineering model with principles of cybernetics. The role and the human factors of road traffic participants and drivers of motor vehicles are identified and several viewpoints for different observers show how such mixed traffic scenarios could be assessed and optimised. The influence of the changing mobility demands of the society and the resulting changes to the origination of producer, owner, driver and supplier show aspects for future liability and risk share option for new supply chains. Examples from various industries provide some well-proven engineering principles how to adapt those for the future mobility for the benefit of the users. The aim of the book is to raise awareness that the safety provided by a product, a means of transport or a system up to an entire traffic system depends on the capabilities of the various actors. In addition to the driver and passengers, there are also other road users, maintenance personnel and service providers, who must have certain abilities to act safely in traffic. These are also the capabilities of the organisation, not only the organisation that develops or brings the product to market, but also the organisation that is responsible for the operation and the whole lifecycle of the products. The book is for people who want to get involved in the mobility of the future. People, that have ideas to become a player who want to help shape the future mobility of society and who want to bring responsible solutions for users into the market.
Will we really soon no longer be sitting behind the wheel of our own car, but will only be taken to our destination by driverless electric taxis? Should cities introduce car sharing? What role will electric scooters, cable cars or man-carrying drones play in the mobility systems of major cities? This book finally explains in a generally understandable way what is really behind buzzwords such as electric mobility, autonomous driving, digitalization and mobility services such as car sharing or ride-hailing, how far advanced these technologies are today, and above all in what relationships and dependencies they are to each other. In addition to the technical aspects, the legislative and social trends are also considered, which are important framework conditions that will have a decisive influence on the mobility of the future. From the contents - Mobility needs: Who wants to go where, when and why - and how will this change in the future? - Technological trends: electromobility, digitalization, autonomous driving - what will the vehicles of the future be capable of? - Car sharing, ride-hailing, e-scooters or public transport: What alternatives to the private car will there be in the future? - Politics and society: How will the framework conditions for mobility develop in the future? - Mobility in transition: What should we do to prepare for the future?
In the decades it takes to bring up a child, parents face challenges that are both helped and hindered by the fact that they are living through a period of unprecedented digital innovation. In Parenting for a Digital Future, Sonia Livingstone and Alicia Blum-Ross draw on extensive and diverse qualitative and quantitative research with a range of parents in the UK to reveal how digital technologies characterize parenting in late modernity, as parents determine how to forge new territory with little precedent or support. They chart how parents often enact authority and values through digital technologies since "screen time," games, and social media have become both ways of being together and of setting boundaries. Parenting for a Digital Future moves beyond the panicky headlines to offer a deeply researched exploration of what it means to parent in a period of significant social and technological change.
This book provides techniques for the deployment of semantic technologies in data analysis along with the latest applications across the field such as Internet of Things (IoT). The authors focus on the use of the IoT and big data in business intelligence, data management, Hadoop, machine learning, cloud, smart cities, etc. They discuss how the generation of big data by IoT has ruptured the existing data processing capacity of IoT and recommends the adoption of data analytics to strengthen solutions. The book addresses the challenges in designing the web based IoT system, provides a comparative analysis of different advanced approaches in industries, and contains an analysis of databases to provide expert systems. The book aims to bring together leading academic scientists, researchers, and research scholars to exchange and share their experiences and research results on all aspects of IoT and big data analytics.
Mobility and transportation mean different things to people, even to those who work in various aspects of the ecosystem - from the movement of people or goods to the development of the infrastructure that enables mobility. For decades these different parts of the ecosystem have been approached as entirely independent industries, but the quickened pace of technological change has driven the need to reconsider how these distinct groups create the vibrant tapestry that is our mobility ecosystem. This book seeks to capture the varied perspectives as a collection of diverse views on the future of mobility, to provide a clearer view on the broad base of possibility and opportunity across this interconnected system. Contributors: Jonathon Baugh, Geoffrey Boquot, Reilly Brennan, Tiffany Chu, Jordan Davis, Courtney Erlichman, Elaina Farnsworth, Valerie Lefler, Wolfgang Lehmacher & Mikail Lind, Shoshana Lew, Suzanne Murtha, Mary Nichols, Trevor Pawl, John Perrachio, Aishwarya Raman, Karina Ricks, Alex Roy, Avinash Ruguboor, Anthony Townsend, Marla Westervelt, and Candace Xie. "Amazing roster of thought leaders come together to paint a picture of a whole new mobility paradigm in the interest of safety, sustainability, and equity." -- Sven Beiker, PhD. Managing Director at Silicon Valley Mobility and Lecturer at Stanford University
In this comprehensive and cutting-edge volume, Qureshi and Jeon bring together experts from around the world to explore the potential of artificial intelligence models in research and discuss the potential benefits and the concerns and challenges that the rapid development of this field has raised. The international chapter contributor group provides a wealth of technical information on different aspects of AI, including key aspects of AI, deep learning and machine learning models for AI, natural language processing and computer vision, reinforcement learning, ethics and responsibilities, security, practical implementation, and future directions. The contents are balanced in terms of theory, methodologies, and technical aspects, and contributors provide case studies to clearly illustrate the concepts and technical discussions throughout. Readers will gain valuable insights into how AI can revolutionize their work in fields including data analytics and pattern identification, healthcare research, social science research, and more, and improve their technical skills, problem-solving abilities, and evidence-based decision-making. Additionally, they will be cognizant of the limitations and challenges, the ethical implications, and security concerns related to language models, which will enable them to make more informed choices regarding their implementation. This book is an invaluable resource for undergraduate and graduate students who want to understand AI models, recent trends in the area, and technical and ethical aspects of AI. Companies involved in AI development or implementing AI in various fields will also benefit from the book’s discussions on both the technical and ethical aspects of this rapidly growing field.