Overview

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. 

Full Product Details

Author:   Seng W. Loke ,  Andry Rakotonirainy
Publisher:   Springer Nature Switzerland AG
Imprint:   Springer Nature Switzerland AG
Edition:   1st ed. 2021
Weight:   0.291kg
ISBN:  

9783030823207

ISBN 10:   3030823202
Pages:   165
Publication Date:   03 September 2022
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand  
We will order this item for you from a manufactured on demand supplier.

Table of Contents

1 An Overview of Technology Trends towards Smarter Cities1.1 The Rise of Automation1.2 The Rise of Smart Cities1.3 Technology in Cities in the midst of a Pandemic1.3.1 Robots Helping to Deal with Infectious Diseases1.3.2 Delivery Robots1.3.3 Delivery Drones1.3.4 Drones, Robots, AI and Wireless Signals for Monitoring and Enforcement1.3.5 Mobile App for Social Contact Tracing and Location-Based Visualizations1.3.6 Government Health Notifications and Advice via Smartphones1.3.7 Data Analytics for the City1.3.8 Smart Public Transport Stations1.3.9 Discussion1.4 An Overview of Trends in Technology1.4.1 Internet of Things (IoT), Ubiquitous Computing1.4.2 Artificial Intelligence (AI) and Robotics1.4.3 Platforms, Sharing Economy, Urban Apptivism, and City Operating Systems1.4.4 Digital Tools for Participation, Human Coordination, and Hackable Smart Cities1.4.5 Intelligent Transport Systems (ITS) and Automated Vehicles (AVs)1.5 Conceptualisations of the Smart City1.5.1 Smart City Standards1.5.2 Three Focus Areas of Technology in Smart Cities1.6 Towards Smarter CitiesReferences2 The Automated City: Concept and Metaphors2.1 The Automated City in Relation to Current and Emerging Technologies: Concept2.1.1 Automation of Large Scale City Systems2.1.2 Predictive and Proactive Cities, and the Availability of Data2.1.3 Robots Everywhere2.1.4 Self-Repairing Cities, Self-Organizing Cities and Self-Regenerating Cities2.1.5 The Automated City as a “Living” Machine2.2 The Automated City in Relation to its Inhabitants: Metaphors2.2.1 Machines as Partners: Machines Living in Human Environments2.2.2 Machines as Hosts: Humans Living Inside Machines2.2.3 Machines as Art: Machines as Expressions of Human Living2.2.4 The Humane Automated City2.3 The Automated City: a Working DefinitionReferences3 Automated Vehicles, Urban Robots and Drones: Three Elements of the Automated City3.1 Introduction3.2 Automated Vehicles (AVs)3.2.1 The Potential of Automated Vehicles3.2.2 Issues and Limitations3.2.3 Summary on Automated Vehicles3.3 Urban Robots3.3.1 The Potential of Urban Robots3.3.2 Issues and Limitations3.3.3 Summary on Urban Robots3.4 Urban Drones3.4.1 The Potential of Urban Drones3.4.2 Issues and Limitations3.4.3 Summary on Urban Drones3.5 Summary of ChapterReferences4 The Future of the Automated City: Social, Technical and Ethical Perspectives4.1 Visions of Future Cities4.1.1 The Walkable City and Urban Hubs4.1.2 Trees, Energy, the Green City and Sustainability4.1.3 Other Visions of the Future City4.1.4 Impacts of Technology on Citizens and Workforce - What Do We Want City Inhabitants to Become?4.1.5 Which Vision?4.1.6 The Evolution of Cities: Bottom-Up or Top-Down? 4.2 Governance4.2.1 Policies4.2.2 Governance by Algorithms4.3 New Business Models4.4 Urban Transportation4.5 Real-Time Tracking4.6 Urban Edge Computing4.7 Blockchain for Smart Cities4.8 Massive Cooperation4.8.1 Platforms for Massive Cooperation 4.8.2 Cooperative Intelligent Transport Systems (Coop-ITS) 4.8.3 Cooperative Vehicles and Applications4.8.4 Cooperative-By-Design4.8.5 Cooperative Internet of Things4.9 Trust and Ethics in AI and the Automated City4.9.1 Trusting Machines4.9.2 Can AI and the Automated City be Dangerous?4.9.3 Ethical Algorithms in the Automated City4.9.4 Ethical Algorithmic Behaviour for Smart Connected Things4.10 Summary of ChapterReferences5 Conclusion5.1 The City in Physical Space and in Cyber Space5.2 What Use Will the Automated City Have? Reflections on the Post-Pandemic City5.3 Its Not All About the TechnologyReferences Index

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Author Information

Professor Seng W. Loke received the B.Sc. (First Class Hons.) degree in Computer Science from the Australian National University and the Ph.D. degree in Computer Science from the University of Melbourne, Australia, in 1994 and 1998, respectively. He is currently Professor in Computer Science within the School of Information Technology at Deakin University, Australia. He currently co-directs the Platforms and Applications Lab, in the Centre for Internet of Things ECOsystems Research and Experimentation (CITECORE) at Deakin's School of Information Technology. His research interests include the Internet of Things, cooperative vehicles, mobile computing, crowd computing, smart city, and social impacts of information technology. He authored “Context-Aware Pervasive Systems: Architectures for a New Breed of Applications” published by Auerbach (CRC Press), Dec 2006, and more recently authored “Crowd-Powered Mobile Computing and Smart Things” published by Springer in 2017.  Professor Andry Rakotonirainy received the PhD degree in Computer Science from Sorbone University and INRIA (French National Institute for Research in Digital Science and Technology) in 1995. He is currently the Director of Centre for Accident Research and Road Safety Queensland (CARRS-Q) and founder of its Intelligent Transport Systems (ITS) human factors research program. He has 25 years research and management experience in computer science, road safety and ITS design and implementation. He is currently a member of the Australian Research Council (ARC) College of Experts and is a regular member of EU funded research projects’ advisory boards. Professor Rakotonirainy’s research has been recognised both nationally and internationally. He has proactively investigated the use of existing and emerging ITS from multiple disciplines such as computer science, mathematics, human factors, engineering, psychology and sociology.

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