Internet Of Things And Artificial Intelligence In Transportation Revolution

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Internet of Things and Artificial Intelligence in Transportation Revolution

Author : Miltiadis D. Lytras,Kwok Tai Chui,Ryan Wen Liu
Publisher : MDPI
Page : 232 pages
File Size : 42,9 Mb
Release : 2021-04-14
Category : Technology & Engineering
ISBN : 9783036503103

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Internet of Things and Artificial Intelligence in Transportation Revolution by Miltiadis D. Lytras,Kwok Tai Chui,Ryan Wen Liu Pdf

The advent of Internet of Things offers a scalable and seamless connection of physical objects, including human beings and devices. This, along with artificial intelligence, has moved transportation towards becoming intelligent transportation. This book is a collection of eleven articles that have served as examples of the success of internet of things and artificial intelligence deployment in transportation research. Topics include collision avoidance for surface ships, indoor localization, vehicle authentication, traffic signal control, path-planning of unmanned ships, driver drowsiness and stress detection, vehicle density estimation, maritime vessel flow forecast, and vehicle license plate recognition. High-performance computing services have become more affordable in recent years, which triggered the adoption of deep-learning-based approaches to increase the performance standards of artificial intelligence models. Nevertheless, it has been pointed out by various researchers that traditional shallow-learning-based approaches usually have an advantage in applications with small datasets. The book can provide information to government officials, researchers, and practitioners. In each article, the authors have summarized the limitations of existing works and offered valuable information on future research directions.

Internet of Things and Artificial Intelligence in Transportation Revolution

Author : Miltiadis Lytras,Kwok Tai Chui,Ryan Wen Liu
Publisher : Unknown
Page : 232 pages
File Size : 40,7 Mb
Release : 2021
Category : Electronic
ISBN : 3036503110

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Internet of Things and Artificial Intelligence in Transportation Revolution by Miltiadis Lytras,Kwok Tai Chui,Ryan Wen Liu Pdf

The advent of Internet of Things offers a scalable and seamless connection of physical objects, including human beings and devices. This, along with artificial intelligence, has moved transportation towards becoming intelligent transportation. This book is a collection of eleven articles that have served as examples of the success of internet of things and artificial intelligence deployment in transportation research. Topics include collision avoidance for surface ships, indoor localization, vehicle authentication, traffic signal control, path-planning of unmanned ships, driver drowsiness and stress detection, vehicle density estimation, maritime vessel flow forecast, and vehicle license plate recognition. High-performance computing services have become more affordable in recent years, which triggered the adoption of deep-learning-based approaches to increase the performance standards of artificial intelligence models. Nevertheless, it has been pointed out by various researchers that traditional shallow-learning-based approaches usually have an advantage in applications with small datasets. The book can provide information to government officials, researchers, and practitioners. In each article, the authors have summarized the limitations of existing works and offered valuable information on future research directions.

Artificial Intelligence of Things in Smart Environments

Author : Mariyam Ouaissa,Zakaria Boulouard,Mariya Ouaissa,Yassine Maleh
Publisher : Walter de Gruyter GmbH & Co KG
Page : 213 pages
File Size : 47,5 Mb
Release : 2022-02-21
Category : Computers
ISBN : 9783110760491

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Artificial Intelligence of Things in Smart Environments by Mariyam Ouaissa,Zakaria Boulouard,Mariya Ouaissa,Yassine Maleh Pdf

This book focuses on the use of AI/ML-based techniques to solve issues related to IoT-based environments, as well as their applications. It addresses, among others, signal detection, channel modeling, resource optimization, routing protocol design, transport layer optimization, user/application behavior prediction, software-defi ned networking, congestion control, communication network optimization, security, and anomaly detection.

Intelligent Technologies for Internet of Vehicles

Author : Naercio Magaia,George Mastorakis,Constandinos Mavromoustakis,Evangelos Pallis,Evangelos K. Markakis
Publisher : Springer Nature
Page : 511 pages
File Size : 52,5 Mb
Release : 2021-06-09
Category : Technology & Engineering
ISBN : 9783030764937

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Intelligent Technologies for Internet of Vehicles by Naercio Magaia,George Mastorakis,Constandinos Mavromoustakis,Evangelos Pallis,Evangelos K. Markakis Pdf

This book gathers recent research works in emerging Artificial Intelligence (AI) methods for the convergence of communication, caching, control, and computing resources in cloud-based Internet of Vehicles (IoV) infrastructures. In this context, the book's major subjects cover the analysis and the development of AI-powered mechanisms in future IoV applications and architectures. It addresses the major new technological developments in the field and reflects current research trends and industry needs. It comprises a good balance between theoretical and practical issues, covering case studies, experience and evaluation reports, and best practices in utilizing AI applications in IoV networks. It also provides technical/scientific information about various aspects of AI technologies, ranging from basic concepts to research-grade material, including future directions. This book is intended for researchers, practitioners, engineers, and scientists involved in designing and developing protocols and AI applications and services for IoV-related devices.

Artificial Intelligence for Future Intelligent Transportation

Author : Rajesh Kumar Dhanaraj,Nilayam Kumar Kamila,Subhendu Kumar Pani,Balamurugan Balusamy,Vani Rajasekar
Publisher : CRC Press
Page : 337 pages
File Size : 42,5 Mb
Release : 2024-01-09
Category : Computers
ISBN : 9781000906837

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Artificial Intelligence for Future Intelligent Transportation by Rajesh Kumar Dhanaraj,Nilayam Kumar Kamila,Subhendu Kumar Pani,Balamurugan Balusamy,Vani Rajasekar Pdf

Emphasizing a sustainable and green approach, this new book presents an overview of state-of-the-art AI strategies for solving transportation challenges around the world, with a focus on traffic management, traffic safety, public transportation, urban mobility, and pollution mitigation. The book examines modern AI technologies such as IoT, cloud computing, machine learning, and neural networking in the context of fully automated transportation that meets current requirements. The volume provides an informative review of the difficulties and recent developments in smart mobility and transportation, encompassing technical, algorithmic, and social elements. The volume examines innovative service and platform concepts for future mobility. Artificial intelligence principles are examined as well as their implementation in modern hardware architecture. New machine learning issues for autonomous vehicles and fleets are investigated in the framework of artificial intelligence. In addition, the book investigates the human dynamics and social implications of future mobility concepts. Highlighting the research directions in this field, Artificial Intelligence for Future Intelligent Transportation: Smarter and Greener Infrastructure Design will be of value for researchers in cybersecurity, machine learning, data analysis, and artificial intelligence. Ethical hackers, students, and faculty will find useful information here as well.

Deep Learning and Big Data for Intelligent Transportation

Author : Khaled R. Ahmed,Aboul Ella Hassanien
Publisher : Springer Nature
Page : 264 pages
File Size : 52,8 Mb
Release : 2021-04-10
Category : Computers
ISBN : 9783030656614

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Deep Learning and Big Data for Intelligent Transportation by Khaled R. Ahmed,Aboul Ella Hassanien Pdf

This book contributes to the progress towards intelligent transportation. It emphasizes new data management and machine learning approaches such as big data, deep learning and reinforcement learning. Deep learning and big data are very energetic and vital research topics of today’s technology. Road sensors, UAVs, GPS, CCTV and incident reports are sources of massive amount of data which are crucial to make serious traffic decisions. Herewith this substantial volume and velocity of data, it is challenging to build reliable prediction models based on machine learning methods and traditional relational database. Therefore, this book includes recent research works on big data, deep convolution networks and IoT-based smart solutions to limit the vehicle’s speed in a particular region, to support autonomous safe driving and to detect animals on roads for mitigating animal-vehicle accidents. This book serves broad readers including researchers, academicians, students and working professional in vehicles manufacturing, health and transportation departments and networking companies.

AI Enabled IoT for Electrification and Connected Transportation

Author : Naveenkumar Marati,Akash Kumar Bhoi,Victor Hugo C. De Albuquerque,Akhtar Kalam
Publisher : Unknown
Page : 0 pages
File Size : 43,9 Mb
Release : 2022
Category : Artificial intelligence
ISBN : 9811921857

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AI Enabled IoT for Electrification and Connected Transportation by Naveenkumar Marati,Akash Kumar Bhoi,Victor Hugo C. De Albuquerque,Akhtar Kalam Pdf

"This book presents an overview of artificial intelligence (AI) in the automotive section, especially in the modern era of green energy-based electrification of vehicles and smart transportation systems. The book also discusses different Internet of Things aspects involved in the automotive domain with AI. The book presents autonomous driving systems, advanced driver assistance systems (ADAS), autonomy, AI involvement, and machine learning techniques with challenges in electrification, prognostics, and diagnostics. AI and IoT are two emerging technologies, and their importance in other modern technology electrification on transportation, connected vehicle segment are discussed thoroughly in this book with different topologies. It also presents AI applications in the charging profile prediction, state of charge, state of health, battery lifetime, and battery temperature detection in dynamic conditions. Different algorithms are also given in the book to discuss the nearest point charging station for electric vehicle users. The book also discusses cybersecurity issues and challenges in the real-time environment for AI implementation, IoT in transportation, and autonomous driving. The other aspects of telematics, smart sensors for the implementation of the IoT, and AI are also discussed, especially in guidance and control aspects. The book will be useful for the researchers, practitioners, and industry people working in AI, IoT in the electrification and transportation segment."--

Intelligent Control for Modern Transportation Systems

Author : Arunesh Kumar Singh,Bhavnesh Kumar,Ibraheem,Asheesh Kumar Singh,Shahida Khatoon
Publisher : CRC Press
Page : 194 pages
File Size : 54,9 Mb
Release : 2023-10-12
Category : Technology & Engineering
ISBN : 9781000963526

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Intelligent Control for Modern Transportation Systems by Arunesh Kumar Singh,Bhavnesh Kumar,Ibraheem,Asheesh Kumar Singh,Shahida Khatoon Pdf

The book comprehensively discusses concepts of artificial intelligence in green transportation systems. It further covers intelligent techniques for precise modeling of complex transportation infrastructure, forecasting and predicting traffic congestion, and intelligent control techniques for maximizing performance and safety. It further provides MATLAB® programs for artificial intelligence techniques. It discusses artificial intelligence-based approaches and technologies in controlling and operating solar photovoltaic systems to generate power for electric vehicles. Highlights how different technological advancements have revolutionized the transportation system. Presents core concepts and principles of soft computing techniques in the control and management of modern transportation systems. Discusses important topics such as speed control, fuel control challenges, transport infrastructure modeling, and safety analysis. Showcases MATLAB® programs for artificial intelligence techniques. Discusses roles, implementation, and approaches of different intelligent techniques in the field of transportation systems. It will serve as an ideal text for professionals, graduate students, and academicians in the fields of electrical engineering, electronics and communication engineering, civil engineering, and computer engineering.

Smart City Infrastructure

Author : Vishal Kumar,Vishal Jain,Bharti Sharma,Jyotir Moy Chatterjee,Rakesh Shrestha
Publisher : John Wiley & Sons
Page : 388 pages
File Size : 44,5 Mb
Release : 2022-02-17
Category : Computers
ISBN : 9781119785545

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Smart City Infrastructure by Vishal Kumar,Vishal Jain,Bharti Sharma,Jyotir Moy Chatterjee,Rakesh Shrestha Pdf

SMART CITY INFRASTRUCTURE The wide range of topics presented in this book have been chosen to provide the reader with a better understanding of smart cities integrated with AI and blockchain and related security issues. The goal of this book is to provide detailed, in-depth information on the state-of-the-art architecture and infrastructure used to develop smart cities using the Internet of Things (IoT), artificial intelligence (AI), and blockchain security—the key technologies of the fourth industrial revolution. The book outlines the theoretical concepts, experimental studies, and various smart city applications that create value for inhabitants of urban areas. Several issues that have arisen with the advent of smart cities and novel solutions to resolve these issues are presented. The IoT along with the integration of blockchain and AI provides efficient, safe, secure, and transparent ways to solve different types of social, governmental, and demographic issues in the dynamic urban environment. A top-down strategy is adopted to introduce the architecture, infrastructure, features, and security. Audience The core audience is researchers in artificial intelligence, information technology, electronic and electrical engineering, systems engineering, industrial engineering as well as government and city planners.

Explainable Artificial Intelligence for Intelligent Transportation Systems

Author : Loveleen Gaur,Biswa Mohan Sahoo
Publisher : Springer Nature
Page : 103 pages
File Size : 43,8 Mb
Release : 2022-08-08
Category : Computers
ISBN : 9783031096440

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Explainable Artificial Intelligence for Intelligent Transportation Systems by Loveleen Gaur,Biswa Mohan Sahoo Pdf

Transportation typically entails crucial “life-death” choices, delegating crucial decisions to an AI algorithm without any explanation poses a serious threat. Hence, explainability and responsible AI is crucial in the context of intelligent transportation. In Intelligence Transportation System (ITS) implementations such as traffic management systems and autonomous driving applications, AI-based control mechanisms are gaining prominence. Explainable artificial intelligence for intelligent transportation system tackling certain challenges in the field of autonomous vehicle, traffic management system, data integration and analytics and monitor the surrounding environment. The book discusses and inform researchers on explainable Intelligent Transportation system. It also discusses prospective methods and techniques for enabling the interpretability of transportation systems. The book further focuses on ethical considerations apart from technical considerations.

Augmented Intelligence Toward Smart Vehicular Applications

Author : Nishu Gupta,Joel Rodrigues,Justin Dauwels
Publisher : CRC Press
Page : 225 pages
File Size : 43,6 Mb
Release : 2020-12-18
Category : Computers
ISBN : 9781000259957

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Augmented Intelligence Toward Smart Vehicular Applications by Nishu Gupta,Joel Rodrigues,Justin Dauwels Pdf

This up-to-date reference discusses important concepts of vehicular communication in intelligent transportation systems. Augmented Intelligence Toward Smart Vehicular Applications begins by discussing key objectives of intelligent transport systems and vehicular ad-hoc networks (VANETs). It then goes on to discuss challenges, applications and future trends in VANETs. The text focuses on the organization of artificial intelligence (AI) and aspects of deep learning algorithms, particularly multimodal transport. This book will serve as an ideal reference for graduate students and academic researchers in the field of electrical engineering, electronics and communication engineering and transportation engineering. Features In-depth coverage of Internet of Things (IoT) in vehicular applications Discussion on nn-vehicle sensor networks Implementation of mobile IP and migration of IPv6 Focus on the need of AI in smart vehicular applications Discussions on advanced concepts in the field of intelligent transport systems

AI-Aided IoT Technologies and Applications for Smart Business and Production

Author : Alex Khang,Anuradha Misra,Shashi Kant Gupta,Vrushank Shah
Publisher : CRC Press
Page : 352 pages
File Size : 46,9 Mb
Release : 2023-12-01
Category : Computers
ISBN : 9781003821496

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AI-Aided IoT Technologies and Applications for Smart Business and Production by Alex Khang,Anuradha Misra,Shashi Kant Gupta,Vrushank Shah Pdf

This book covers the need for Internet of Things (IoT) technologies and artificial intelligence (AI)–aided IoT solutions for business and production. It shows how IoT-based technology uses algorithms and AI models to bring out the desired results. AI-Aided IoT Technologies and Applications for Smart Business and Production shows how a variety of IoT technologies can be used toward integrating data fabric solutions and how intelligent applications can be used to greater effect in business and production operations. The book also covers the integration of IoT data-driven financial technology (fintech) applications to fulfill the goals of trusted AI-aided IoT solutions. Next, the authors show how IoT-based technology uses algorithms and AI models to bring out the desired results across various industries including smart cities, buildings, hospitals, hotels, homes, factories, agriculture, transportation, and more. The last part focuses on AI-aided IoT techniques, data analytics, and visualization tools. This book targets a mixed audience of specialists, analysts, engineers, scholars, researchers, academics, and professionals. It will be useful to engineering officers, IoT and AI engineers, engineering and industrial management students, and research scholars looking for new ideas, methodologies, technologies, models, frameworks, theories, and practices to resolve the challenging issues associated with leveraging IoT technologies, data-driven analytics, AI-aided models, IoT cybersecurity, 5G, sensors, and augmented and virtual reality techniques for developing smart systems in the era of Industrial Revolution 4.0.

The Fourth Industrial Revolution

Author : Klaus Schwab
Publisher : Currency
Page : 192 pages
File Size : 50,7 Mb
Release : 2017-01-03
Category : Business & Economics
ISBN : 9781524758875

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The Fourth Industrial Revolution by Klaus Schwab Pdf

World-renowned economist Klaus Schwab, Founder and Executive Chairman of the World Economic Forum, explains that we have an opportunity to shape the fourth industrial revolu­tion, which will fundamentally alter how we live and work. Schwab argues that this revolution is different in scale, scope and complexity from any that have come before. Characterized by a range of new technologies that are fusing the physical, digital and biological worlds, the developments are affecting all disciplines, economies, industries and governments, and even challenging ideas about what it means to be human. Artificial intelligence is already all around us, from supercomputers, drones and virtual assistants to 3D printing, DNA sequencing, smart thermostats, wear­able sensors and microchips smaller than a grain of sand. But this is just the beginning: nanomaterials 200 times stronger than steel and a million times thinner than a strand of hair and the first transplant of a 3D printed liver are already in development. Imagine “smart factories” in which global systems of manu­facturing are coordinated virtually, or implantable mobile phones made of biosynthetic materials. The fourth industrial revolution, says Schwab, is more significant, and its ramifications more profound, than in any prior period of human history. He outlines the key technologies driving this revolution and discusses the major impacts expected on government, business, civil society and individu­als. Schwab also offers bold ideas on how to harness these changes and shape a better future—one in which technology empowers people rather than replaces them; progress serves society rather than disrupts it; and in which innovators respect moral and ethical boundaries rather than cross them. We all have the opportunity to contribute to developing new frame­works that advance progress.

Internet of Vehicles and its Applications in Autonomous Driving

Author : Nishu Gupta,Arun Prakash,Rajeev Tripathi
Publisher : Springer Nature
Page : 193 pages
File Size : 47,7 Mb
Release : 2020-09-18
Category : Technology & Engineering
ISBN : 9783030463359

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Internet of Vehicles and its Applications in Autonomous Driving by Nishu Gupta,Arun Prakash,Rajeev Tripathi Pdf

This book provides an insight on the importance that Internet of Vehicles (IoV) solutions can have in taking care of vehicular safety through internetworking and automation. Key features of the book are the inclusion and elaboration of recent and emerging developments in various specializations of intelligent transportation systems and their solutions by incorporating IoT (Internet of Things) and IoV. This book presents to its readers useful IoV applications and architectures that cater to their improved driving requirements and lead towards autonomous driving. The application domains have a large range in which vehicular networking, communication technology, sensor devices, computing materials and devices, IoT communication, vehicular and on-road safety, data security and other topics are included.

Communication, Computation and Perception Technologies for Internet of Vehicles

Author : Yongdong Zhu,Yue Cao,Wei Hua,Lexi Xu
Publisher : Springer Nature
Page : 294 pages
File Size : 50,6 Mb
Release : 2023-10-31
Category : Technology & Engineering
ISBN : 9789819954391

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Communication, Computation and Perception Technologies for Internet of Vehicles by Yongdong Zhu,Yue Cao,Wei Hua,Lexi Xu Pdf

This book focuses on the design, management, and cybersecurity of connected and autonomous vehicles under the umbrella of the Internet of Vehicles. Both principles and engineering practice are covered, from the design perspectives of communication, computing, and perception to ITS management. An in-depth study of a range of topics such as microscopic traffic behavior modeling and simulation, localization, V2X communication, cooperative cloud-edge computing, and multi-sensor fusion for perception has been presented, while novel enabling technologies such as RIS and blockchain are introduced. The book benefits researchers, engineers, and graduate students in the fields of intelligent transport systems, telecommunications, cybersecurity, and autonomous driving.