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Artificial Intelligence in Highway Safety

Author: Subasish Das

Publisher: CRC Press

Published: 2022-09-29

Total Pages: 354

ISBN-13: 1000726266

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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.

Book Synopsis Artificial Intelligence in Highway Safety by : Subasish Das

Download or read book Artificial Intelligence in Highway Safety written by Subasish Das and published by CRC Press. This book was released on 2022-09-29 with total page 354 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Handbook on Artificial Intelligence and Transport

Author: Hussein Dia

Publisher: Edward Elgar Publishing

Published: 2023-10-06

Total Pages: 649

ISBN-13: 1803929545

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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.

Book Synopsis Handbook on Artificial Intelligence and Transport by : Hussein Dia

Download or read book Handbook on Artificial Intelligence and Transport written by Hussein Dia and published by Edward Elgar Publishing. This book was released on 2023-10-06 with total page 649 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Artificial Intelligence In Highway Location And Alignment Optimization: Applications Of Genetic Algorithms In Searching, Evaluating, And Optimizing Highway Location And Alignments

Author: Min-wook Kang

Publisher: World Scientific

Published: 2020-08-14

Total Pages: 289

ISBN-13: 9813272821

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This monograph provides a comprehensive overview of methods for searching, evaluating, and optimizing highway location and alignments using genetic algorithms (GAs), a powerful Artificial Intelligence (AI) technique. It presents a two-level programming structure to deal with the effects of varying highway location on traffic level changes in surrounding road networks within the highway location search and alignment optimization process. In addition, the proposed method evaluates environmental impacts as well as all relevant highway costs associated with its construction, operation, and maintenance. The monograph first covers various search methods, relevant cost functions, constraints, computational efficiency, and solution quality issues arising from optimizing the highway alignment optimization (HAO) problem. It then focuses on applications of a special-purpose GA in the HAO problem where numerous highway alignments are generated and evaluated, and finally the best ones are selected based on costs, traffic impacts, safety, energy, and environmental considerations. A review of other promising optimization methods for the HAO problem is also provided in this monograph.

Book Synopsis Artificial Intelligence In Highway Location And Alignment Optimization: Applications Of Genetic Algorithms In Searching, Evaluating, And Optimizing Highway Location And Alignments by : Min-wook Kang

Download or read book Artificial Intelligence In Highway Location And Alignment Optimization: Applications Of Genetic Algorithms In Searching, Evaluating, And Optimizing Highway Location And Alignments written by Min-wook Kang and published by World Scientific. This book was released on 2020-08-14 with total page 289 pages. Available in PDF, EPUB and Kindle. Book excerpt: This monograph provides a comprehensive overview of methods for searching, evaluating, and optimizing highway location and alignments using genetic algorithms (GAs), a powerful Artificial Intelligence (AI) technique. It presents a two-level programming structure to deal with the effects of varying highway location on traffic level changes in surrounding road networks within the highway location search and alignment optimization process. In addition, the proposed method evaluates environmental impacts as well as all relevant highway costs associated with its construction, operation, and maintenance. The monograph first covers various search methods, relevant cost functions, constraints, computational efficiency, and solution quality issues arising from optimizing the highway alignment optimization (HAO) problem. It then focuses on applications of a special-purpose GA in the HAO problem where numerous highway alignments are generated and evaluated, and finally the best ones are selected based on costs, traffic impacts, safety, energy, and environmental considerations. A review of other promising optimization methods for the HAO problem is also provided in this monograph.

Artificial Intelligence Applications to Traffic Engineering

Author: Maurizio Bielli

Publisher: VSP

Published: 1994-05

Total Pages: 340

ISBN-13: 9789067641715

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In recent years the applications of advanced information technologies in the field of transportation have affected both road infrastructures and vehicle technologies. The development of advanced transport telematics systems and the implementation of a new generation of technological options in the transport environment have had a significant impact on improved traffic management, efficiency and safety. This volume contains contributions from scientific and academic centres which have been active in this field of research and provides an overview of applications of AI technology in the field of traffic control and management. The topics covered are: -- current status of AI in transport -- AI applications in traffic engineering -- in-vehicle AI

Book Synopsis Artificial Intelligence Applications to Traffic Engineering by : Maurizio Bielli

Download or read book Artificial Intelligence Applications to Traffic Engineering written by Maurizio Bielli and published by VSP. This book was released on 1994-05 with total page 340 pages. Available in PDF, EPUB and Kindle. Book excerpt: In recent years the applications of advanced information technologies in the field of transportation have affected both road infrastructures and vehicle technologies. The development of advanced transport telematics systems and the implementation of a new generation of technological options in the transport environment have had a significant impact on improved traffic management, efficiency and safety. This volume contains contributions from scientific and academic centres which have been active in this field of research and provides an overview of applications of AI technology in the field of traffic control and management. The topics covered are: -- current status of AI in transport -- AI applications in traffic engineering -- in-vehicle AI

Product Development Within Artificial Intelligence, Ethics and Legal Risk

Author: Thomas Winkle

Publisher: Springer Nature

Published: 2022

Total Pages: 281

ISBN-13: 3658342935

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This open-access-book synthesizes a supportive developer checklist considering sustainable Team and agile Project Management in the challenge of Artificial Intelligence and limits of image recognition. The study bases on technical, ethical, and legal requirements with examples concerning autonomous vehicles. As the first of its kind, it analyzes all reported car accidents state wide (1.28 million) over a 10-year period. Integrating of highly sensitive international court rulings and growing consumer expectations make this book a helpful guide for product and team development from initial concept until market launch. The author Thomas Winkle (Prof. Dr.-Ing., MBA Communication & Leadership) is a multiple author in best-selling Springer books such as "Autonomous Driving: Technical, Legal and Social Aspects" or the "Handbook of Driver Assistance Systems". His work bases on three decades in sustainable team consulting as employee and researcher in the legal departments of three car manufacturers as well as a professor at IU International University and TU Munich. Thomas Winkle received the Volkswagen research award for his significant Human-Centered Design into the development of the Automatic Emergency Brake. He was responsible to prepare the ADAS Code of Practice. As consultant at international courts, he links Artificial Intelligence, Ethics, Sustainable Agile Management, Mindful Communication and Law using Autonomous Vehicles example definition requirements.

Book Synopsis Product Development Within Artificial Intelligence, Ethics and Legal Risk by : Thomas Winkle

Download or read book Product Development Within Artificial Intelligence, Ethics and Legal Risk written by Thomas Winkle and published by Springer Nature. This book was released on 2022 with total page 281 pages. Available in PDF, EPUB and Kindle. Book excerpt: This open-access-book synthesizes a supportive developer checklist considering sustainable Team and agile Project Management in the challenge of Artificial Intelligence and limits of image recognition. The study bases on technical, ethical, and legal requirements with examples concerning autonomous vehicles. As the first of its kind, it analyzes all reported car accidents state wide (1.28 million) over a 10-year period. Integrating of highly sensitive international court rulings and growing consumer expectations make this book a helpful guide for product and team development from initial concept until market launch. The author Thomas Winkle (Prof. Dr.-Ing., MBA Communication & Leadership) is a multiple author in best-selling Springer books such as "Autonomous Driving: Technical, Legal and Social Aspects" or the "Handbook of Driver Assistance Systems". His work bases on three decades in sustainable team consulting as employee and researcher in the legal departments of three car manufacturers as well as a professor at IU International University and TU Munich. Thomas Winkle received the Volkswagen research award for his significant Human-Centered Design into the development of the Automatic Emergency Brake. He was responsible to prepare the ADAS Code of Practice. As consultant at international courts, he links Artificial Intelligence, Ethics, Sustainable Agile Management, Mindful Communication and Law using Autonomous Vehicles example definition requirements.

Intelligent Transportation Systems, Vehicle-highway Automation, and Artificial Intelligence

Author:

Publisher:

Published: 1999

Total Pages: 180

ISBN-13:

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Book Synopsis Intelligent Transportation Systems, Vehicle-highway Automation, and Artificial Intelligence by :

Download or read book Intelligent Transportation Systems, Vehicle-highway Automation, and Artificial Intelligence written by and published by . This book was released on 1999 with total page 180 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Artificial Intelligence for Future Intelligent Transportation

Author: Rajesh Kumar Dhanaraj

Publisher: CRC Press

Published: 2024-01-09

Total Pages: 337

ISBN-13: 1000906833

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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.

Book Synopsis Artificial Intelligence for Future Intelligent Transportation by : Rajesh Kumar Dhanaraj

Download or read book Artificial Intelligence for Future Intelligent Transportation written by Rajesh Kumar Dhanaraj and published by CRC Press. This book was released on 2024-01-09 with total page 337 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Explainable Artificial Intelligence for Intelligent Transportation Systems

Author: Loveleen Gaur

Publisher: Springer Nature

Published: 2022-08-08

Total Pages: 103

ISBN-13: 3031096444

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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.

Book Synopsis Explainable Artificial Intelligence for Intelligent Transportation Systems by : Loveleen Gaur

Download or read book Explainable Artificial Intelligence for Intelligent Transportation Systems written by Loveleen Gaur and published by Springer Nature. This book was released on 2022-08-08 with total page 103 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

AI for Cars

Author: Josep Aulinas

Publisher: CRC Press

Published: 2021-07-28

Total Pages: 128

ISBN-13: 1000417166

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Artificial Intelligence (AI) is undoubtedly playing an increasingly significant role in automobile technology. In fact, cars inhabit one of just a few domains where you will find many AI innovations packed into a single product. AI for Cars provides a brief guided tour through many different AI landscapes including robotics, image and speech processing, recommender systems and onto deep learning, all within the automobile world. From pedestrian detection to driver monitoring to recommendation engines, the book discusses the background, research and progress thousands of talented engineers and researchers have achieved thus far, and their plans to deploy this life-saving technology all over the world.

Book Synopsis AI for Cars by : Josep Aulinas

Download or read book AI for Cars written by Josep Aulinas and published by CRC Press. This book was released on 2021-07-28 with total page 128 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial Intelligence (AI) is undoubtedly playing an increasingly significant role in automobile technology. In fact, cars inhabit one of just a few domains where you will find many AI innovations packed into a single product. AI for Cars provides a brief guided tour through many different AI landscapes including robotics, image and speech processing, recommender systems and onto deep learning, all within the automobile world. From pedestrian detection to driver monitoring to recommendation engines, the book discusses the background, research and progress thousands of talented engineers and researchers have achieved thus far, and their plans to deploy this life-saving technology all over the world.

Redefining Traffic: How Ai Leads The Change

Author: Guanghui Zhao

Publisher: World Scientific

Published: 2023-06-28

Total Pages: 304

ISBN-13: 9811249768

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Advances in Artificial intelligence (AI) have redefined research and development in many areas, particularly in the direction of engineering research, application of machine learning, and the use of deep learning in many aspects of engineering research.This book looks at the impact of AI and how it has transformed transportation in the form of Smart Traffic Management Systems in a world of unmanned systems and autonomous machines. The book explores the problems faced in air, sea and land transport and traffic. It looks into Unmanned Aerial Vehicles (UAVs), autonomous and remotely-operated ships, intelligent port management systems, and modern urban railway systems.Redefining Traffic is a reference book for researchers, engineers, and technical personnel specializing in intelligent traffic, artificial intelligence, big data, and the Internet of Things (IoT). It can also be used as a study guide for advanced undergraduates interested in AI, vehicle engineering, automation, and computing.

Book Synopsis Redefining Traffic: How Ai Leads The Change by : Guanghui Zhao

Download or read book Redefining Traffic: How Ai Leads The Change written by Guanghui Zhao and published by World Scientific. This book was released on 2023-06-28 with total page 304 pages. Available in PDF, EPUB and Kindle. Book excerpt: Advances in Artificial intelligence (AI) have redefined research and development in many areas, particularly in the direction of engineering research, application of machine learning, and the use of deep learning in many aspects of engineering research.This book looks at the impact of AI and how it has transformed transportation in the form of Smart Traffic Management Systems in a world of unmanned systems and autonomous machines. The book explores the problems faced in air, sea and land transport and traffic. It looks into Unmanned Aerial Vehicles (UAVs), autonomous and remotely-operated ships, intelligent port management systems, and modern urban railway systems.Redefining Traffic is a reference book for researchers, engineers, and technical personnel specializing in intelligent traffic, artificial intelligence, big data, and the Internet of Things (IoT). It can also be used as a study guide for advanced undergraduates interested in AI, vehicle engineering, automation, and computing.