Driving Green Transportation System Through Artificial Intelligence and Automation (eBook, PDF)

Approaches, Technologies and Applications
Redaktion: Khang, Alex

• Format: PDF

Produktbeschreibung

This book is designed to help transportation professionals and construction experts to develop and implement successful smart systems, leveraging the current trends, equipment, and advanced technologies to drive the green transportation system development. Artificial intelligence (AI) is a new direction that has opened a revolution in technology and smart applications, and it is also the basis for creating a green environment in the net-zero era. Therefore, machines, devices, self-driving car, and robots controlled by artificial intelligence-based systems are now the model of a smart transportation ecosystem for which all these technologies are referred to as "green" industries. In past years, the idea of making a green environment has been existing and moving on the society 5.0 being as a country strategy, and today, AI technology continues its development on this prototype. Nowadays, AI has begun actions to resemble a person in a real sense, and the idea of human-liked robotics put forward by scientists has started to be realized and will probably complete its development as living machines in the near future. AI has many subsystems and application in various industries, some of which have automation more accurately and are more integrated in modern industries. This book also targets a mixed audience of specialists, analysts, engineers, scholars, researchers, academics, professionals, and students from different communities to share and contribute new ideas, methodologies, technologies, approaches, models, frameworks, theories, and practices to resolve the challenging issues associated with the leveraging of AI and Industrial Internet of Things (IIoT) in green transportation ecosystem.

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Produktdetails

• Verlag: Springer Nature Switzerland
• Seitenzahl: 636
• Erscheinungstermin: 11. Januar 2025
• Englisch
• ISBN-13: 9783031726170
• Artikelnr.: 72790853

Autorenporträt

Alex Khang is a professor in Information Technology, D.Sc. D.Litt., AI and Data Scientist, AI and Data Science Research Center, Global Research Institute of Technology and Engineering, Raleigh, North Carolina, USA. He has more than 28 years of experience in teaching and researching of computer science and data science at the universities and institutions of computer science and information technology in Vietnam, India, and the USA. He has over 30 years of working experience as software product manager, data engineer, AI engineer, cloud computing architect, solution architect, software architect, database expert in the foreign corporations of Germany, Sweden, the USA, Singapore, and multinationals. He has published many articles, 165+ documents indexed Scopus, 54 authored books (software development). He has published 30 edited books, 150 book chapters, and calling for book chapters for 5+ edited books in the fields of AI ecosystem.

Inhaltsangabe

Artificial Intelligence (AI) and Automation for Driving Green Transportation Systems: A Comprehensive Review.- Application of Automation and Artificial Intelligence (AI) in Green Transportation System.- Edge Computing for Enhancing Efficiency and Sustainability in Green Transportation Systems.- Electric Vehicles: Paving the Way for Sustainable Green Transportation and Environmental Protection.- Industrial Sensors in Smart Transportation System.- Internet of Things (IoT) Smart Sensing Traffic Lights for Revolutionizing Urban Traffic Management.- Quantum Computing: Revolutionizing Green Transportation through Advanced Optimization and Simulation.- Role of Human-Centered Design and Technologies in Smart Transportation System.- Internet of Vehicle Based Quality of Service (QoS) Exploration for Public Transportation.- Intelligent Traffic Management and Accident Prevention System with Vehicle Counting and Distance-Based Brake Control.- E-Waste and Lithium-ion Battery Recycling Insights for Sustainable Transportation.- Deep Learning (DL)-Powered Drowsiness Detection for Enhanced Driving Safety in Smart Transportation System.- Fuzzy Logic and Integrated Deep Learning (DL) Solution for Precise Vehicle Detection and Classification.- Automatic Number Plate Recognition for Motorcyclists Riding without Helmet.- Application of Internet of Vehicles (IoV) in Smart Transportation System.- Advanced Sensor Technologies and Applications for Intelligent Transportation Systems.- Artificial Intelligence (AI)-Driven Traffic Solutions: Enhancing Green Transportation through Predictive Analytics and Deep Learning.- Application of Artificial Intelligence Techniques for Green Transportation in Smart City.- Analysis of Wireless Sensor Networks Applications in Intelligent Transportation System.- Integrating Industrial Robotics and Internet of Things (IoT) in Smart Transportation System.- Beyond the Horizon: Exploring the Future of Artificial Intelligence (AI) Powered Sustainable Mobility in Public Transportation System.- 3D Modelling and Printing in Smart Transportation System.- Future-Proofing Green Transportation: Fusing Technology for Safer Roads.- Technological Features of a Safe Monitoring System Based on the Use of Unmanned Aerial Vehicles.- Battery Health Aware Energy Management Strategy for Hybrid Electric Vehicle using Artificial Intelligence.- The Role of Sensors in Shaping Future Transportation Systems.- Analyzing Citizen Acceptance of AI-Driven Green Transportation: Mixed-Method Approach of Insights and Strategies for Enhancing Adoption.- Green Transportation and Moral Licensing: Navigating Ethical Challenges with Artificial Intelligence (AI) and Automation.- Transformative Impact of Generative Artificial Intelligence (Gen AI) on Smart Transportation System.- Intelligent Electronic Ticketing Platform in Smart Transportation Ecosystem.- Enhancing Smart Transportation System: Blockchain based Integrating Cloud Database Management System.- Cyber Security for Smart Transportation System.