Artificial Intelligence for Future Intelligent Transportation : Smarter and Greener Infrastructure Design / Dhanaraj, Rajesh Kumar (EDT)/ Kamila, Nilayam Kumar (EDT)/ Pani, Subhendu Kumar (EDT)

未来の知的交通のための人工知能<br>Artificial Intelligence for Future Intelligent Transportation : Smarter and Greener Infrastructure Design

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¥29,672

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未来の知的交通のための人工知能
Artificial Intelligence for Future Intelligent Transportation : Smarter and Greener Infrastructure Design

Dhanaraj, Rajesh Kumar (EDT)/ Kamila, Nilayam Kumar (EDT)/ Pani, Subhendu Kumar (EDT)

ウェブストア価格 ¥34,457（本体¥31,325）
Apple Academic Press Inc.（2024/01発売）
外貨定価 US$ 169.95
ポイント 313pt

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製本 Hardcover:ハードカバー版／ページ数 318 p.
言語 ENG
商品コード 9781774913529
DDC分類 629.04028563

Full Description

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.

1. Introduction to Artificial Intelligence in Smart Transportation 2. AI Approaches in Intelligent Transportation Systems 3. Smart Air Pollution Monitoring and Prediction System Using Deep Learning Enabled IoT Technology 4. Various AI Models to Mitigate Transport Pollution 5. Neural Network Approaches for Transportation 6. Statistical AI Model in Intelligent Transportation System 7. Reinforcement Learning in Smart Transportation 8. Role of AI and IoT in Intelligent Transportation 9. Potential Applications of AI in Transportation 10. AI Techniques for Future Smart Transportation 11. AI-Based Green Transportation: A Sustainable Approach