Transportation in the Age of Artificial Intelligence and Predictive Analytics PDF Download

Author: Clark Merrefield
Publisher:
ISBN:
Category :
Languages : en
Pages : 0

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Author:
Publisher:
ISBN:
Category : Artificial intelligence
Languages : en
Pages : 18

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Author: Hussein Dia
Publisher: Edward Elgar Publishing
ISBN: 1803929545
Category : Computers
Languages : en
Pages : 649

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Book Description
With AI advancements eliciting imminent changes to our transport systems, this enlightening Handbook presents essential research on this evolution of the transportation sector. It focuses on not only urban planning, but relevant themes in law and ethics to form a unified resource on the practicality of AI use.

Author: Mashrur Chowdhury
Publisher: Elsevier
ISBN: 0128098511
Category : Business & Economics
Languages : en
Pages : 346

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Book Description
Data Analytics for Intelligent Transportation Systems provides in-depth coverage of data-enabled methods for analyzing intelligent transportation systems that includes detailed coverage of the tools needed to implement these methods using big data analytics and other computing techniques. The book examines the major characteristics of connected transportation systems, along with the fundamental concepts of how to analyze the data they produce. It explores collecting, archiving, processing, and distributing the data, designing data infrastructures, data management and delivery systems, and the required hardware and software technologies. Users will learn how to design effective data visualizations, tactics on the planning process, and how to evaluate alternative data analytics for different connected transportation applications, along with key safety and environmental applications for both commercial and passenger vehicles, data privacy and security issues, and the role of social media data in traffic planning. - Includes case studies in each chapter that illustrate the application of concepts covered - Presents extensive coverage of existing and forthcoming intelligent transportation systems and data analytics technologies - Contains contributors from both leading academic and commercial researchers - Explains how to design effective data visualizations, tactics on the planning process, and how to evaluate alternative data analytics for different connected transportation applications

Author: Dizzy Davidson
Publisher: Pure Water Books
ISBN:
Category : Computers
Languages : en
Pages : 95

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Book Description
“AI in Transportation: Revolutionizing Mobility and Infrastructure” provides the answers you seek. This comprehensive guide delves into the transformative power of AI in the transportation industry, offering insights into autonomous vehicles, traffic management, and predictive maintenance. Benefits of Reading This Book: Understand the Role of AI: Gain a deep understanding of how AI is driving innovation in transportation. Practical Applications: Learn about real-world applications and case studies that showcase the effectiveness of AI. Future Trends: Stay ahead of the curve by exploring emerging trends and technologies in AI and transportation. This book is an essential resource for anyone looking to understand the intersection of AI and transportation. Whether you’re a tech enthusiast, a transportation professional, or simply curious about the future of mobility, this book provides valuable insights and practical knowledge. Why This Book is a Must-Read: Comprehensive Coverage: Covers a wide range of topics from autonomous vehicles to smart parking management. Expert Insights: Written by experts in the field, offering authoritative and reliable information. Engaging Content: Presented in an engaging and easy-to-understand manner, making complex concepts accessible. Call to Action: Don’t miss out on the opportunity to become knowledgeable about AI in transportation. Get your copy of “AI in Transportation: Revolutionizing Mobility and Infrastructure” today and unlock the benefits of understanding and applying AI concepts in the transportation industry. Viral Bullet Points Discover how AI is transforming self-driving cars and trucks. Learn about AI algorithms that optimize traffic flow and reduce congestion. Explore AI systems that monitor road conditions and enhance infrastructure maintenance. Understand how AI detects traffic incidents and improves emergency response times. Find out how AI enhances vehicle safety through pedestrian detection and driver monitoring. Dive into smart parking management and AI-driven logistics solutions. Uncover the role of AI in ride-sharing and Mobility as a Service (MaaS).

Author: Subasish Das
Publisher: CRC Press
ISBN: 1000726266
Category : Computers
Languages : en
Pages : 354

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Book Description
Artificial Intelligence in Highway Safety provides cutting-edge advances in highway safety using AI. The author is a highway safety expert. He pursues highway safety within its contexts, while drawing attention to the predictive powers of AI techniques in solving complex problems for safety improvement. This book provides both theoretical and practical aspects of highway safety. Each chapter contains theory and its contexts in plain language with several real-life examples. It is suitable for anyone interested in highway safety and AI and it provides an illuminating and accessible introduction to this fast-growing research trend. Material supplementing the book can be found at https://github.com/subasish/AI_in_HighwaySafety. It offers a variety of supplemental materials, including data sets and R codes.

Author: Yashawi Karnati
Publisher: CRC Press
ISBN: 1040129668
Category : Computers
Languages : en
Pages : 242

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Book Description
In an era defined by rapid urbanization and ever-increasing mobility demands, effective transportation management is paramount. This book takes readers on a journey through the intricate web of contemporary transportation systems, offering unparalleled insights into the strategies, technologies, and methodologies shaping the movement of people and goods in urban landscapes. From the fundamental principles of traffic signal dynamics to the cutting-edge applications of machine learning, each chapter of this comprehensive guide unveils essential aspects of modern transportation management systems. Chapter by chapter, readers are immersed in the complexities of traffic signal coordination, corridor management, data-driven decision-making, and the integration of advanced technologies. Closing with chapters on modeling measures of effectiveness and computational signal timing optimization, the guide equips readers with the knowledge and tools needed to navigate the complexities of modern transportation management systems. With insights into traffic data visualization and operational performance measures, this book empowers traffic engineers and administrators to design 21st-century signal policies that optimize mobility, enhance safety, and shape the future of urban transportation.

Author: Gilberto Rivera
Publisher: Springer Nature
ISBN: 3031383257
Category : Computers
Languages : en
Pages : 597

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Book Description
In the age of transformative artificial intelligence (AI), which has the potential to revolutionize our lives, this book provides a comprehensive exploration of successful research and applications in AI and data analytics. Covering innovative approaches, advanced algorithms, and data analysis methodologies, this book addresses complex problems across topics such as machine learning, pattern recognition, data mining, optimization, and predictive modeling. With clear explanations, practical examples, and cutting-edge research, this book seeks to expand the understanding of a wide readership, including students, researchers, practitioners, and technology enthusiasts eager to explore these exciting fields. Featuring real-world applications in education, health care, climate modeling, cybersecurity, smart transportation, conversational systems, and material analysis, among others, this book highlights how these technologies can drive innovation and generate competitive advantages.

Author: Ajay Agrawal
Publisher: University of Chicago Press
ISBN: 0226833127
Category : Business & Economics
Languages : en
Pages : 172

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Book Description
A timely investigation of the potential economic effects, both realized and unrealized, of artificial intelligence within the United States healthcare system. In sweeping conversations about the impact of artificial intelligence on many sectors of the economy, healthcare has received relatively little attention. Yet it seems unlikely that an industry that represents nearly one-fifth of the economy could escape the efficiency and cost-driven disruptions of AI. The Economics of Artificial Intelligence: Health Care Challenges brings together contributions from health economists, physicians, philosophers, and scholars in law, public health, and machine learning to identify the primary barriers to entry of AI in the healthcare sector. Across original papers and in wide-ranging responses, the contributors analyze barriers of four types: incentives, management, data availability, and regulation. They also suggest that AI has the potential to improve outcomes and lower costs. Understanding both the benefits of and barriers to AI adoption is essential for designing policies that will affect the evolution of the healthcare system.

Author: Stuart M. Rosenberg
Publisher: Routledge
ISBN: 1000201031
Category : Business & Economics
Languages : en
Pages : 252

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Book Description
The goal of this book is to gain a clear picture of the current status and future challenges with regard to the digitalization of the supply chain – from the perspective of the suppliers, the manufacturers, and the customers. They were the target groups of the book. Digitization has touched upon all aspects of businesses, including supply chains. Technologies such as RFID, GPS, and sensors have enabled organizations to transform their existing hybrid (combination of paper-based and IT-supported processes) supply chain structures into more f lexible, open, agile, and collaborative digital models. Unlike hybrid supply chain models, which have resulted in rigid organizational structures, unobtainable data, and disjointed relationships with partners, digital supply chains enable business process automation, organizational flexibility, and digital management of corporate assets. In order to reap maximum benefits from digital supply chain models, it is important that companies internalize it as an integral part of the overall business model and organizational structure. Localized disconnected projects and silo-based operations pose a serious threat to competitiveness in an increasingly digital world. The technologies discussed in this text – artificial intelligence, 3D printing, Internet of things, etc. – are beginning to come together to help digitize, automate, integrate, and improve the global supply chains. It’s certainly an exciting and challenging time for both new supply chain professionals and long-time supply chain professionals.