Using Artificial Intelligence to Solve Transportation Problems
Using Artificial Intelligence to Solve Transportation Problems

Author: Aleksander Sładkowski

Publisher: Springer

Published: 2024-10-30

Total Pages: 0

ISBN-13: 9783031694868

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This book focuses on the role of Artificial Intelligence in solving transportation problems and presents papers from around the world on AI in transportation. Currently, the development of computer technology and software has led to what can be said to be the beginning of a fundamentally new stage in science and technology. This new level is called “Artificial Intelligence (AI).” AI can be used in any area of human activity. One of the broadest uses of AI comes from transportation, broadly understood. Obviously, it is impossible to present all the possibilities of AI in the field of design, production and operation of transport in one book. But the authors of this monothematic monograph tried to describe achievements in their areas. In particular, the use of AI allows you to save energy and fuel when using vehicles, improve the preparation and implementation of transport processes, simplify warehouse operations, analyze and modernize existing transport infrastructure. These and other aspects of the use of AI in the transport industry are discussed in the monograph by specialists from Greece, China, Poland and other countries. This book can be recommended for study by scientists and professionals. It can also be selected by teachers as additional material when preparing relevant courses. Moreover, it can also be recommended for any readers seriously interested in the transportation industry.

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

Artificial Intelligence for Future Intelligent Transportation
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.

Advances of Machine Learning in Clean Energy and the Transportation Industry
Advances of Machine Learning in Clean Energy and the Transportation Industry

Author: Pandian Vasant

Publisher:

Published: 2021

Total Pages: 0

ISBN-13: 9781685072117

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This book presents the latest research in the field of machine learning, discussing the real-world application problems associated with new innovative renewable energy methodologies as well as cutting edge technologies in the transport industry. The requirements and demands of problem solving have been increasing exponentially, and new artificial intelligence and machine learning technologies have reduced the scope of data coverage worldwide. Recent advances in data technology (DT) have contributed to reducing the gaps in the coverage of domains around the globe. Attention to clean energy in recent decades has been growing exponentially. This is mainly due to a decrease in the cost of both installed capacity of converters and a decrease in the cost of generated energy. Such successes were achieved thanks to the improvement of modern technologies for the production of converters, an increase in the efficiency of using incoming energy, optimisation of the operation of converters and analysis of data obtained during the operation of systems with the possibility of planning production. The use of clean energy plays an important role in the transportation industry, where technologies are also being improved from year to year - the transportation industry is growing, and machinery and systems are becoming more autonomous and robotic, where it is no longer possible to do without complex intelligent computing, machine learning optimisation, planning and working with large amounts of data. The book is a valuable reference work for researchers in the fields of renewable energy, computer science and engineering with a particular focus on machine learning and intelligent optimization as well as for postgraduates, managers, economists and decision makers, policy makers, government officials, industrialists and practicing scientists and engineers as well compassionate global decision makers. Topics include: Machine learning, Quantum Optimization, Modern Technology in Transport Industry, Innovative Technologies in Transport Education, Systems Based on Renewable Energy Conversion, Business Process Models and Applications in Renewable Energy, Clean Energy, and Climate Change.

Solving Transport Problems
Solving Transport Problems

Author: Walid Besbes

Publisher: John Wiley & Sons

Published: 2020-02-26

Total Pages: 258

ISBN-13: 1786303892

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Solving Transport Problems establishes fundamental points and good practice in resolving matters regarding green transportation. This is to prompt further research in conveyance issues by providing readers with new knowledge and grounds for integrated models and solution methods. Focusing on green transportation, this book covers various sub-topics and thus consists of diverse content. Traditionally, academia and transport practitioners have mainly concentrated on efficient fleet management to achieve economic benefits and better-quality service. More recently, due to growing public environmental concerns and the industry understanding of the issue, the academic community has started to address environmental issues. The studies of green transportation compiled in this book have identified certain areas of interest, such as references, viewpoints, algorithms and ideas. Solving Transport Problems is for researchers, environmental decision-makers and other concerned parties, to start discussion on developing optimized technology and alternative fuel-based integrated models for environmentally cleaner transport systems.

Artificial Intelligence Applications to Traffic Engineering
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

Smart Transportation
Smart Transportation

Author: Guido Dartmann

Publisher: CRC Press

Published: 2021-11-10

Total Pages: 224

ISBN-13: 1000405656

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The book provides a broad overview of the challenges and recent developments in the field of smart mobility and transportation, including technical, algorithmic and social aspects of smart mobility and transportation. It reviews new ideas for services and platforms for future mobility. New concepts of artificial intelligence and the implementation in new hardware architecture are discussed. In the context of artificial intelligence, new challenges of machine learning for autonomous vehicles and fleets are investigated. The book also investigates human factors and social questions of future mobility concepts. The goal of this book is to provide a holistic approach towards smart transportation. The book reviews new technologies such as the cloud, machine learning and communication for fully atomatized transport, catering to the needs of citizens. This will lead to complete change of concepts in transportion.

Handbook on Artificial Intelligence and Transport
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.

Reinforcement Learning
Reinforcement Learning

Author: Phil Winder Ph.D.

Publisher: "O'Reilly Media, Inc."

Published: 2020-11-06

Total Pages: 517

ISBN-13: 1492072346

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Reinforcement learning (RL) will deliver one of the biggest breakthroughs in AI over the next decade, enabling algorithms to learn from their environment to achieve arbitrary goals. This exciting development avoids constraints found in traditional machine learning (ML) algorithms. This practical book shows data science and AI professionals how to learn by reinforcement and enable a machine to learn by itself. Author Phil Winder of Winder Research covers everything from basic building blocks to state-of-the-art practices. You'll explore the current state of RL, focus on industrial applications, learn numerous algorithms, and benefit from dedicated chapters on deploying RL solutions to production. This is no cookbook; doesn't shy away from math and expects familiarity with ML. Learn what RL is and how the algorithms help solve problems Become grounded in RL fundamentals including Markov decision processes, dynamic programming, and temporal difference learning Dive deep into a range of value and policy gradient methods Apply advanced RL solutions such as meta learning, hierarchical learning, multi-agent, and imitation learning Understand cutting-edge deep RL algorithms including Rainbow, PPO, TD3, SAC, and more Get practical examples through the accompanying website

Intelligent Data Communication Technologies and Internet of Things
Intelligent Data Communication Technologies and Internet of Things

Author: D. Jude Hemanth

Publisher: Springer Nature

Published: 2019-11-10

Total Pages: 797

ISBN-13: 3030340805

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This book focuses on the emerging advances in distributed communication systems, big data, intelligent computing and Internet of Things, presenting state-of-the-art research in frameworks, algorithms, methodologies, techniques and applications associated with data engineering and wireless distributed communication technologies. In addition, it discusses potential topics like performance analysis, wireless communication networks, data security and privacy, human computer interaction, 5G Networks, and smart automated systems, which will provide insights for the evolving data communication technologies. In a nutshell, this proceedings book compiles novel and high-quality research that offers innovative solutions for communications in IoT networks.