This book highlights the latest advancements in the use of automated systems in the design, construction, operation and future of the built environment and its occupants. It considers how the use of automated decision-making frameworks, artificial intelligence and other technologies of automation are presently impacting the practice of architects, engineers, project managers and contractors, and articulates the near future changes to workflows, legal frameworks and the wider AEC industry. This book surveys and compiles the use of city apps, robots that operate buildings and fabricate structural elements, 3D printing, drones, sensors, algorithms, and advanced prefabricated modules. The book also contributes to the growing literature on smart cities, and explores the impacts on data privacy and data sovereignty that arise through the use of sensors, digital twins and intelligent transport systems. It provides a useful reference for further research and development in the area of automation in design and construction to architects, engineers, project managers, superintendents and construction lawyers, contractors, policy makers, and students.
The book outlines the concept of the Automated City, in the context of smart city research and development. While there have been many other perspectives on the smart city such as the participatory city and the data-centric city, this book focuses on automation for the smart city based on current and emerging technologies such as the Internet of Things, Artificial Intelligence and Robotics. The book attempts to provide a balanced view, outlining the promises and potential of the Automated City as well as the perils and challenges of widespread automation in the city. The book discusses, at some depth, automated vehicles, urban robots and urban drones as emerging technologies that will automate many aspects of city life and operation, drawing on current work and research literature. The book also considers broader perspectives of the future city, in the context of automation in the smart city, including aspirational visions of cities, transportation, new business models, and socio-technological challenges, from urban edge computing, ethics of the Automated City and smart devices, to large scale cooperating autonomous systems in the city.
In the present era, technological developments are increasing the efficiency and potential of each stakeholder in a business. Robotic process automation is one of the key areas that can be applied in business organizations and corporate sectors to enhance productivity and show a path to success. Application and Adoption of Robotic Process Automation for Smart Cities provides relevant theoretical frameworks and various developments in the area of robotic process automation. Covering topics such as banking and financial services, public engagement, and smart cities, this premier reference source is a valuable resource for business leaders, IT managers, government officials, engineers, students and educators of higher education, researchers, and academicians.
This book introduces the concept of the ‘autonomous city’- a concept that has been developed from the ‘smart cities’ model that is based on a city’s ability to gather data and taking it one step further. The digital revolution has brought about numerous changes in the urban realm, along with the understanding that technology can aid in increasing the performance and efficiency of urban areas. This technology has given rise to a wealth of data allowing urban leaders to respond better to crisis and craft policies that increase the liveability of urban areas. The ‘autonomous city’ explores the possibility of urban areas evolving from the dimension of data gathering to that of action response – so a city able to collect data and render real time decisions to self-manage a variety of functions based on its interpretation of that data. The book discusses how this could lead to the automation of select urban dimensions for increased efficiency and performance, but also details how such a process would require careful consideration when put into practice. This book will be a valuable resource for scholars and students across Urban Planning, Sustainability and STS, as well as practitioners and policy makers involved in the development of urban life.
In a rapidly urbanizing world, the concept of “smart cities” represents the future of urban living. These cities aim to harness advanced technologies to create environments that are efficient, sustainable, and responsive to the needs of their inhabitants. But what does it take to build a smart city? And what challenges must be overcome to realize this vision? Smart Cities - Foundations and Perspectives is a comprehensive guide that explores the intricate process of developing smart cities. The book is organized into two key sections. The first section, “Smart Cities Opportunities and Challenges”, takes you through the initial stages of smart city development, with a focus on real-world examples like Saudi Arabia’s ambitious smart city projects. It discusses the critical areas of energy, mobility, and waste management, offering a clear view of the evolution of these cities and the hurdles they face. In the second section, “Smart Cities Technologies”, the book delves into the technological backbone of smart cities. From the Internet of Things (IoT) to renewable energy solutions and cybersecurity measures, it covers the cutting-edge innovations that are essential for creating intelligent urban environments. Written by leading experts in the field, this book provides invaluable insights for policymakers, urban planners, technologists, and anyone interested in the future of cities. Smart Cities - Foundations and Perspectives is not just a blueprint for building smart cities—it is a call to action for creating urban spaces that are secure, sustainable, and inclusive.
One tool, endless possibilities: Multi-cloud mastery with Ansible KEY FEATURES ● Practical insights for efficient Ansible Tower use. ● Advanced use cases for network to edge computing. ● Multi-cloud infrastructure automation strategies. DESCRIPTION Across the modern IT landscape, managing infrastructure across diverse cloud platforms has become a formidable task. Ansible, a robust open-source automation tool, emerges as the ultimate weapon in your arsenal, unlocking efficiency and control over your multi-cloud environment, such as IBM, AWS, GCP, and Azure. Indulge in an in-depth venture through Ansible's fundamentals, architecture, and applications in multi-cloud environments with use cases. Gain a deep understanding of core concepts, such as playbooks, tasks, and roles, and learn to set up Ansible seamlessly across diverse operating systems and cloud providers. Master the creation of efficient playbooks to automate infrastructure provisioning, application deployment, and configuration management in multi-cloud scenarios. Dig into advanced areas like network automation, security automation, and edge computing, acquiring the skills to automate intricate tasks effortlessly. By the end of this book, you will emerge as a confident Ansible expert, capable of automating your multi-cloud operations with precision and efficiency. You will gain the skills to reduce manual effort, minimize errors, and achieve unprecedented agility in your cloud deployments. WHAT YOU WILL LEARN ● Write efficient Ansible Playbooks for automated system configurations. ● Deploy and manage cloud infrastructure across major providers seamlessly. ● Integrate Ansible with Kubernetes for container orchestration automation. ● Implement Ansible Automation Platform and Tower for enterprise scaling. ● Apply Ansible techniques to automate AI and deep learning pipelines. WHO THIS BOOK IS FOR This book is tailored for IT professionals, including system administrators, DevOps engineers, cloud architects, cloud security professionals, automation engineers, and network specialists seeking to leverage Ansible for automation. TABLE OF CONTENTS 1. Ansible in Multi-Cloud Environment 2. Ansible Setup Across OS and Cloud 3. Writing Tasks, Plays, and Playbooks 4. Infrastructure Automation Using Red Hat Ansible 5. Network Automation Using Ansible 6. App Automation Using Ansible 7. Security Automation Using Red Hat Ansible 8. Red Hat Ansible Automation for Edge Computing 9. Red Hat Ansible for Kubernetes and OpenShift Clusters 10. Using Ansible Automation Platform in Multi-Cloud 11. Red Hat Ansible for Deep Learning
An unflinching look at the aspiring city-builders of our smart, mobile, connected future. From Beijing to Boston, cities are deploying smart technology—sensors embedded in streets and subways, Wi-Fi broadcast airports and green spaces—to address the basic challenges faced by massive, interconnected metropolitan centers. In Smart Cities, Anthony M. Townsend documents this emerging futuristic landscape while considering the motivations, aspirations, and shortcomings of the key actors—entrepreneurs, mayors, philanthropists, and software developers—at work in shaping the new urban frontier.
Information and communication technology is fundamentally changing the way we live and operate in cities, such as instant access to events, transportation, bookings, payments, and other services. At the same time, three “megatrends” in the automotive industry—self-driving, electrification, and advanced manufacturing technology—are enabling the design of innovative, application-specific vehicles that capitalize on city connectivity. Applications could countless; however, they also need to be safe and securely integrated into a city’s physical and digital infrastructure, and into the overall urban ecosystem. Unsettled Issues Concerning Automated Driving Services in the Smart City Infrastructure examines the current state of the industry, the developments in automated driving and robotics, and how these new urban, self-driving city applications are different. It also analyzes higher level challenges for urban applications. Ultimately, this report includes several options for sharing lessons learned among different cities and their stakeholders. Click here to access the full SAE EDGETM Research Report portfolio. https://doi.org/10.4271/EPR2021030
Machine Learning and the City Explore the applications of machine learning and artificial intelligence to the built environment Machine Learning and the City: Applications in Architecture and Urban Design delivers a robust exploration of machine learning (ML) and artificial intelligence (AI) in the context of the built environment. Relevant contributions from leading scholars in their respective fields describe the ideas and techniques that underpin ML and AI, how to begin using ML and AI in urban design, and the likely impact of ML and AI on the future of city design and planning. Each section couples theoretical and technical chapters, authoritative references, and concrete examples and projects that illustrate the efficacy and power of machine learning in urban design. The book also includes: An introduction to the probabilistic logic that underpins machine learning Comprehensive explorations of the applications of machine learning and artificial intelligence to urban environments Practical discussions of the consequences of applied machine learning and the future of urban design Perfect for designers approaching machine learning and AI for the first time, Machine Learning and the City: Applications in Architecture and Urban Design will also earn a place in the libraries of urban planners and engineers involved in urban design.
This is the fifth volume of a sub series on Road Vehicle Automation published within the Lecture Notes in Mobility. Like in previous editions, scholars, engineers and analysts from all around the world have contributed chapters covering human factors, ethical, legal, energy and technology aspects related to automated vehicles, as well as transportation infrastructure and public planning. The book is based on the Automated Vehicles Symposium which was hosted by the Transportation Research Board (TRB) and the Association for Unmanned Vehicle Systems International (AUVSI) in San Francisco, California (USA) in July 2017.
