Artificial Intelligence for Transportation: Transforming Mobility and Infrastructure
暫譯: 交通運輸的人工智慧：轉型移動性與基礎設施
Kulkarni, Dhanashree, Deshpande, Anand, Estrela, Vania Vieira
相關主題
商品描述
Artificial Intelligence (A) is transforming transportation by enabling intelligent, adaptive, and data-driven mobility systems capable of addressing growing urbanization and sustainability challenges. By leveraging machine learning, computer vision, natural language processing, and advanced data analytics, AI enhances traffic prediction, autonomous navigation, safety monitoring, and infrastructure management. These technologies allow transportation networks to respond in real time to changing conditions, reduce congestion and emissions, improve road safety, and optimize resource utilization. AI also plays a central role in integrating vehicles, users, and infrastructure into cohesive smart mobility ecosystems. As transportation systems evolve toward automation, connectivity, and sustainability, AI emerges as a foundational enabler for resilient, efficient, and future-ready transportation networks worldwide.
The book offers a comprehensive and forward-looking examination of AI's expanding role in modern transportation. The book spans foundational principles and advanced innovations, beginning with intelligent transportation systems and progressing to specialized areas such as AI-driven driving analytics, smart traffic control, and augmented-reality-based safety navigation. It further explores emerging frontiers including autonomous vehicle intelligence, edge-AI frameworks, 6G-enabled mobility, quantum computing, generative AI for infrastructure design, and robust vehicle-to-vehicle communication systems. By integrating theory, applications, and future trends, the book presents a holistic vision of how AI can build safer, smarter, and more sustainable transportation ecosystems while supporting the broader evolution of smart cities.
This book is designed for researchers, engineers, industry professionals, urban planners, policymakers, and advanced students engaged in transportation, artificial intelligence, and smart city development. It serves as both a practical reference and a visionary guide for those seeking to understand, design, and deploy AI-enabled transportation solutions, while supporting informed decision-making and innovation in global mobility systems.
商品描述(中文翻譯)
人工智慧 (AI) 正在改變交通運輸，透過啟用智能、適應性和數據驅動的移動系統，來應對日益增長的城市化和可持續性挑戰。藉由利用機器學習、計算機視覺、自然語言處理和先進的數據分析，AI 增強了交通預測、自主導航、安全監控和基礎設施管理。這些技術使交通網絡能夠實時響應變化的條件，減少擁堵和排放，改善道路安全，並優化資源利用。AI 還在將車輛、用戶和基礎設施整合成為一個有凝聚力的智能移動生態系統中扮演著核心角色。隨著交通系統向自動化、連接性和可持續性演進，AI 成為全球韌性、高效和未來準備的交通網絡的基礎性推動者。
本書提供了對 AI 在現代交通中不斷擴大角色的全面且前瞻性的檢視。書中涵蓋了基礎原則和先進創新，從智能交通系統開始，逐步深入到專門領域，如 AI 驅動的駕駛分析、智能交通控制和基於增強現實的安全導航。它進一步探索了新興前沿，包括自主車輛智能、邊緣 AI 框架、6G 支援的移動性、量子計算、基於生成式 AI 的基礎設施設計，以及強大的車對車通信系統。通過整合理論、應用和未來趨勢，本書呈現了 AI 如何構建更安全、更智能和更可持續的交通生態系統的整體願景，同時支持智能城市的更廣泛演進。
本書旨在為從事交通、人工智慧和智能城市發展的研究人員、工程師、行業專業人士、城市規劃者、政策制定者和高級學生提供參考。它既是一本實用的參考書，也是一本前瞻性的指南，幫助那些希望理解、設計和部署 AI 驅動的交通解決方案的人，同時支持全球移動系統中的知情決策和創新。
作者簡介
Dr. Dhanashree Kulkarni is Professor, Head of Department of Computer Science and Engineering and Dean Academics at SAEF's Angadi Institute of Technology and Management (AITM), Karnataka, India. She has a PhD from the Faculty of Computer and Information Sciences, from Visvesvaraya Technological University (VTU), Belagavi. Her area of interests includes AI, Machine Learning, Natural Language processing, data analytics, intelligent transportation systems and cybersecurity. She has contributed significantly to research, with publications in reputed international journals and conferences, and holds multiple patents to her credit. She is a member of IEEE ITSS (Intelligent Transportation System Society) and ACM member.
Dr. Anand B. Deshpande is currently the Principal and Director of the Suresh Angadi Education Foundation's, Angadi Institute of Technology and Management (AITM), Belagavi, Karnataka, India. He has a PhD in Electrical and Electronics Engineering Sciences from VTU, Belagavi, India. His research work has been published in reputed journals, conferences, and books, and he has filed patents in several areas. He has edited 2 volumes, Intelligent Designs, Innovations and Sustainability in Agriculture 4.0 and Computational Intelligence Methods for Super-Resolution in Image Processing Applications. His research interests include AI, Image and Video Analytics, Data Analytics, and Machine Vision.
Dr. Vania V. Estrela has a M.Sc. degree in ECE from Northwestern University, USA; and a PhD in ECE from the Illinois Institute of Technology (IIT), Chicago, IL, USA. She works at Universidade Federal Fluminense's (UFF), Brazil, Department of Telecommunications. Research interests include Cyber-Physical Systems, Multimedia, Biomedical Engineering, Neuroscience, Unmanned Aerial Systems, Simulation, Smart Designs, Communications, Artificial Intelligence, and Geoprocessing. She edits and reviews for several prestigious publishers. She is engaged in Humanitarian Engineering, Technology Transfer, STEAM Education, Environmental Issues, Digital Inclusion, and all UN Sustainable Development Goals. She has served as editor of more than 20 books and special issues. She has served on a plethora of Technical and Organizational Committees and is a member of IEEE.
作者簡介(中文翻譯)
達納什瑞·庫爾卡尼博士是印度卡納塔克邦SAEF安加迪科技與管理學院（AITM）計算機科學與工程系的系主任及學術院長。她擁有來自維斯維薩拉亞科技大學（VTU）貝拉戈維的計算機與信息科學學院的博士學位。她的研究興趣包括人工智慧（AI）、機器學習、自然語言處理、數據分析、智能交通系統和網絡安全。她在研究方面做出了重要貢獻，發表了多篇在國際知名期刊和會議上的論文，並擁有多項專利。
阿南德·B·德斯潘德博士目前是印度卡納塔克邦貝拉戈維的蘇雷什·安加迪教育基金會安加迪科技與管理學院（AITM）的校長和主任。他擁有來自VTU貝拉戈維的電氣與電子工程科學博士學位。他的研究工作已在知名期刊、會議和書籍上發表，並在多個領域申請了專利。他編輯了兩本書籍，分別是農業4.0中的智能設計、創新與可持續性和圖像處理應用中的超解析度計算智能方法。他的研究興趣包括人工智慧、圖像與視頻分析、數據分析和機器視覺。
瓦尼亞·V·埃斯特拉博士擁有美國西北大學的電子與計算機工程碩士學位，以及美國伊利諾伊理工學院（IIT）芝加哥的電子與計算機工程博士學位。她在巴西的聯邦弗魯米嫩塞大學（UFF）電信系工作。研究興趣包括網絡物理系統、多媒體、生物醫學工程、神經科學、無人機系統、模擬、智能設計、通信、人工智慧和地理處理。她為多家知名出版社編輯和審稿。她參與人道工程、技術轉移、STEAM教育、環境問題、數位包容性以及所有聯合國可持續發展目標。她曾擔任超過20本書籍和特刊的編輯，並在眾多技術和組織委員會中任職，是IEEE的成員。
