The Automated City: Internet of Things and Ubiquitous Artificial Intelligence
Seng W. Loke · Andry Rakotonirainy
Sep 2021 · Springer Nature
Ebook
165
Pages
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About this ebook
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.
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.
About the author
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.
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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